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ORCIDZhiyuan Liu 0001
Person information
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation: Tencent Inc, AI Platform Department, Shenzhen, China
- not to be confused with: Zhiyuan Liu 0010
Other persons with the same name
- Zhiyuan Liu (aka: Zhi-Yuan Liu) — disambiguation page
- Zhiyuan Liu 0002
![[0000-0002-6331-0810]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6331-0810")
— Southeast University, Jiangsu, China - Zhiyuan Liu 0003 — University of Colorado, Boulder, CO, USA
- Zhiyuan Liu 0004 — Chongqing University, China
- Zhiyuan Liu 0005 (aka: Zhi-Yuan Liu 0005) — Harbin Institute of Technology, Automotive Electronic Engineering Center, China (and 1 more)
- Zhiyuan Liu 0006 — Dalian University of Technology, China
- Zhiyuan Liu 0007 — Shandong Normal University, Jinan, China
- Zhiyuan Liu 0008 — Civil Aviation University of China, Tianjin, China
- Zhiyuan Liu 0009 — Beihang University, Beijing, China
- Zhiyuan Liu 0010 — National University of Singapore, Singapore (and 1 more)
- Zhiyuan Liu 0011 — Southeast University, School of Electronic Science and Engineering, National ASIC System Engineering Research Center, Nanjing, China
- Zhiyuan Liu 0012 — University of North Carolina, UNC, Department of Computer Science, Chapel Hill, USA
- Zhiyuan Liu 0013 — Chinese Academy of Sciences, CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Neural Engineering Center, China (and 2 more)
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2020 – today
- 2026
[e6]Maosong Sun, Peiyong Duan, Zhiyuan Liu, Ruifeng Xu, Weiwei Sun, Yubo Chen, Zhiliang Tian, Zhenghao Liu:
Chinese Computational Linguistics - 24th China National Conference, CCL 2025, Jinan, China, August 11-14, 2025, Proceedings. Lecture Notes in Computer Science 16052, Springer 2026, ISBN 978-981-95-2724-3 [contents]- 2025
- [j63]Bo Lv, Chen Yu, Xiaoning Hu, Zhenhong Li, Chuang Song, Jie Li, Wenyu Tian, Haihui Liu, Liangyu Ta, Zhiyuan Liu:
Anomalous far field ground subsidence induced by the 2023 Mw 6.8 Morocco earthquake. Int. J. Appl. Earth Obs. Geoinformation 144: 104905 (2025) - [j62]Xinrong Zhang, Shengding Hu, Weilin Zhao, Huadong Wang, Xu Han, Chaoqun He, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Optimal RoPE extension via Bayesian Optimization for training-free length generalization. AI Open 6: 1-11 (2025) - [j61]Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi R. Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Guoliang Li, Zhiyuan Liu, Maosong Sun:
Tool Learning with Foundation Models. ACM Comput. Surv. 57(4): 101:1-101:40 (2025) - [j60]Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou:
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. ACM Trans. Inf. Syst. 43(2): 54:1-54:28 (2025) - [c354]Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Haiwen Hong, Huan-ang Gao, Longtao Huang, Hui Xue, Huimin Chen, Zhiyuan Liu, Maosong Sun:
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. ACL (Findings) 2025: 222-243 - [c353]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Fusing Highly Specialized Language Models for Comprehensive Expertise. ACL (1) 2025: 854-878 - [c352]Weilin Zhao, Tengyu Pan, Xu Han, Yudi Zhang, Sun Ao, Yuxiang Huang, Kaihuo Zhang, Weilun Zhao, Yuxuan Li, Jie Zhou, Hao Zhou, Jianyong Wang, Maosong Sun, Zhiyuan Liu:
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling. ACL (1) 2025: 3909-3921 - [c351]Yaxi Lu, Haolun Li, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Zhiyuan Liu, Fangming Liu, Maosong Sun:
Learning to Generate Structured Output with Schema Reinforcement Learning. ACL (1) 2025: 4905-4918 - [c350]Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu:
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. ACL (Findings) 2025: 5788-5807 - [c349]Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Zhiyuan Liu, Maosong Sun:
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation. ACL (1) 2025: 7333-7348 - [c348]Kunlun Zhu, Yifan Luo, Dingling Xu, Yukun Yan, Zhenghao Liu, Shi Yu, Ruobing Wang, Shuo Wang, Yishan Li, Nan Zhang, Xu Han, Zhiyuan Liu, Maosong Sun:
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework. ACL (1) 2025: 8520-8544 - [c347]You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun:
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. ACL (Findings) 2025: 9845-9867 - [c346]Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Sun Ao, Hao Zhou, Jie Zhou, Zhiyuan Liu, Maosong Sun:
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs. ACL (1) 2025: 10708-10727 - [c345]Weize Chen, Jiarui Yuan, Chen Qian, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System. ACL (Findings) 2025: 11534-11557 - [c344]Shi Yu, Zhiyuan Liu, Chenyan Xiong:
Craw4LLM: Efficient Web Crawling for LLM Pretraining. ACL (Findings) 2025: 13843-13851 - [c343]Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Cheng Qian, Zihe Wang, Yujia Qin, Yining Ye, Yaxi Lu, Chen Qian, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub. ACL (1) 2025: 17257-17277 - [c342]Yu Xia, Jingru Fan, Weize Chen, Siyu Yan, Xin Cong, Zhong Zhang, Yaxi Lu, Yankai Lin, Zhiyuan Liu, Maosong Sun:
AgentRM: Enhancing Agent Generalization with Reward Modeling. ACL (1) 2025: 19277-19290 - [c341]Wentong Chen, Junbo Cui, Jinyi Hu, Yujia Qin, Junjie Fang, Yue Zhao, Chongyi Wang, Jun Liu, Guirong Chen, Yupeng Huo, Yuan Yao, Yankai Lin, Zhiyuan Liu, Maosong Sun:
GUICourse: From General Vision Language Model to Versatile GUI Agent. ACL (1) 2025: 21936-21959 - [c340]Jianling Li, Shangzhan Li, Zhenye Gao, Qi Shi, Yuxuan Li, Zefan Wang, Jiacheng Huang, WangHaojie WangHaojie, Jianrong Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators. ACL (Findings) 2025: 23053-23066 - [c339]Zihan Zhou, Chong Li, Xinyi Chen, Shuo Wang, Yu Chao, Zhili Li, Haoyu Wang, Qi Shi, Zhixing Tan, Xu Han, Xiaodong Shi, Zhiyuan Liu, Maosong Sun:
LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models. ACL (1) 2025: 27664-27678 - [c338]Yucheng Wang, Jifan Yu, Daniel Zhang-Li, Joy Lim Jia Yin, Shangqing Tu, Haoxuan Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu:
EduCraft: A System for Generating Pedagogical Lecture Scripts from Long-Context Multimodal Presentations. CIKM 2025: 6153-6160 - [c337]Wang Xu, Haoyu Wang, Shuo Wang, Weilin Zhao, Xu Han, Yukun Yan, Haiyan Zhao, Yudi Zhang, Zhe Tao, Zhiyuan Liu, Wanxiang Che:
Enabling Real-Time Conversations with Minimal Training Costs. CCL 2025: 339-352 - [c336]Chenyang Song, Xu Han, Zhengyan Zhang, Shengding Hu, Xiyu Shi, Kuai Li, Chen Chen, Zhiyuan Liu, Guangli Li, Tao Yang, Maosong Sun:
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models. COLING 2025: 2626-2644 - [c335]Yingfa Chen, Chenlong Hu, Cong Feng, Chenyang Song, Shi Yu, Xu Han, Zhiyuan Liu, Maosong Sun:
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slips. COLING 2025: 6201-6211 - [c334]Fengxiang Wang, Hongzhen Wang, Zonghao Guo, Di Wang, Yulin Wang, Mingshuo Chen, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun:
XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? CVPR 2025: 14325-14336 - [c333]Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness. CVPR 2025: 19985-19995 - [c332]Yingfa Chen, Yutong Wu, Chenyang Song, Zhen Leng Thai, Xingyu Shen, Xu Han, Zhiyuan Liu, Maosong Sun:
Cost-Optimal Grouped-Query Attention for Long-Context Modeling. EMNLP 2025: 5360-5376 - [c331]Brian S. Lin, Jiaxin Yuan, Zihan Zhou, Shouli Wang, Shuo Wang, Cunliang Kong, Qi Shi, Yuxuan Li, Liner Yang, Zhiyuan Liu, Maosong Sun:
On LLM-Based Scientific Inductive Reasoning Beyond Equations. EMNLP 2025: 9371-9394 - [c330]Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence. ICLR 2025 - [c329]Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun:
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models. ICLR 2025 - [c328]Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong:
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. ICLR 2025 - [c327]Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. ICLR 2025 - [c326]Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun:
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance. ICLR 2025 - [c325]Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Zhiyuan Liu, Maosong Sun, Kaifeng Lyu, Wenguang Chen:
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules. ICLR 2025 - [c324]Chen Qian, Zihao Xie, Yifei Wang, Wei Liu, Kunlun Zhu, Hanchen Xia, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Scaling Large Language Model-based Multi-Agent Collaboration. ICLR 2025 - [c323]Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Rational Decision-Making Agent with Learning Internal Utility Judgment. ICLR 2025 - [c322]Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents. ICLR 2025 - [c321]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. ICLR 2025 - [c320]Yuqi Luo, Chenyang Song, Xu Han, Yingfa Chen, Chaojun Xiao, Xiaojun Meng, Liqun Deng, Jiansheng Wei, Zhiyuan Liu, Maosong Sun:
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity. ICML 2025 - [c319]Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng:
Free Process Rewards without Process Labels. ICML 2025 - [c318]Daniel Zhang-Li, Zheyuan Zhang, Jifan Yu, Joy Lim Jia Yin, Shangqing Tu, Linlu Gong, Haohua Wang, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li:
Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination. KDD (1) 2025: 2872-2883 - [c317]Shangqing Tu, Yucheng Wang, Daniel Zhang-Li, Yushi Bai, Jifan Yu, Yuhao Wu, Lei Hou, Huiqin Liu, Zhiyuan Liu, Bin Xu, Juanzi Li:
LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models. ACM Multimedia 2025: 10965-10974 - [c316]Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu:
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis. NAACL (Findings) 2025: 2570-2585 - [c315]Xujia Wang, Haiyan Zhao, Shuo Wang, Hanqing Wang, Zhiyuan Liu:
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning. NAACL (Findings) 2025: 5609-5626 - [c314]Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Xinrong Zhang, Zhiyuan Liu, Chuan Shi, Maosong Sun:
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. NAACL (Long Papers) 2025: 8998-9008 - [c313]Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, Linlu Gong, Jinchang Zhou, Zhanxin Hao, Jianxiao Jiang, Jie Cao, Huiqin Liu, Zhiyuan Liu, Lei Hou, Juanzi Li:
Simulating Classroom Education with LLM-Empowered Agents. NAACL (Long Papers) 2025: 10364-10379 - [c312]Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun:
BurstEngine: An efficient distributed framework for training transformers On extremely Long sequences of over 1M tokens. SC 2025: 1429-1445 - [c311]Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun:
Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking. SIGIR-AP 2025: 292-302 - [e5]Maosong Sun, Jiye Liang, Xianpei Han, Zhiyuan Liu, Yulan He, Gaoqi Rao, Yubo Chen, Zhiliang Tian:
Chinese Computational Linguistics - 23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024, Proceedings. Lecture Notes in Computer Science 14761, Springer 2025, ISBN 978-981-97-8366-3 [contents] - [i394]You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun:
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. CoRR abs/2501.05767 (2025) - [i393]Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Wanxiang Che, Zhiyuan Liu, Maosong Sun:
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation. CoRR abs/2501.06598 (2025) - [i392]Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding:
Process Reinforcement through Implicit Rewards. CoRR abs/2502.01456 (2025) - [i391]Haoxuan Li, Jifan Yu, Xin Cong, Yang Dang, Yisi Zhan, Huiqin Liu, Zhiyuan Liu:
Exploring LLM-based Student Simulation for Metacognitive Cultivation. CoRR abs/2502.11678 (2025) - [i390]Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Sun Ao, Hao Zhou, Jie Zhou, Zhiyuan Liu, Maosong Sun:
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs. CoRR abs/2502.12085 (2025) - [i389]Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. CoRR abs/2502.12638 (2025) - [i388]Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun:
Learning More Effective Representations for Dense Retrieval through Deliberate Thinking Before Search. CoRR abs/2502.12974 (2025) - [i387]Shi Yu, Zhiyuan Liu, Chenyan Xiong:
Craw4LLM: Efficient Web Crawling for LLM Pretraining. CoRR abs/2502.13347 (2025) - [i386]Jianling Li, Shangzhan Li, Zhenye Gao, Qi Shi, Yuxuan Li, Zefan Wang, Jiacheng Huang, Haojie Wang, Jianrong Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators. CoRR abs/2502.14752 (2025) - [i385]Shangqing Tu, Yucheng Wang, Daniel Zhang-Li, Yushi Bai, Jifan Yu, Yuhao Wu, Lei Hou, Huiqin Liu, Zhiyuan Liu, Bin Xu, Juanzi Li:
LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models. CoRR abs/2502.14834 (2025) - [i384]Weilin Zhao, Tengyu Pan, Xu Han, Yudi Zhang, Ao Sun, Yuxiang Huang, Kaihuo Zhang, Weilun Zhao, Yuxuan Li, Jianyong Wang, Zhiyuan Liu, Maosong Sun:
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling. CoRR abs/2502.14856 (2025) - [i383]Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong:
PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning. CoRR abs/2502.15543 (2025) - [i382]Yu Xia, Jingru Fan, Weize Chen, Siyu Yan, Xin Cong, Zhong Zhang, Yaxi Lu, Yankai Lin, Zhiyuan Liu, Maosong Sun:
AgentRM: Enhancing Agent Generalization with Reward Modeling. CoRR abs/2502.18407 (2025) - [i381]Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu:
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. CoRR abs/2502.18817 (2025) - [i380]Yaxi Lu, Haolun Li, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Zhiyuan Liu, Fangming Liu, Maosong Sun:
Learning to Generate Structured Output with Schema Reinforcement Learning. CoRR abs/2502.18878 (2025) - [i379]Yaorui Shi, Jiaqi Yang, Sihang Li, Junfeng Fang, Cheng-Xiang Wang, Zhiyuan Liu, Yang Zhang:
Multimodal Language Modeling for High-Accuracy Single Cell Transcriptomics Analysis and Generation. CoRR abs/2503.09427 (2025) - [i378]Yingfa Chen, Yutong Wu, Xu Han, Zhiyuan Liu, Maosong Sun:
Cost-Optimal Grouped-Query Attention for Long-Context LLMs. CoRR abs/2503.09579 (2025) - [i377]Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Zhiyuan Liu, Maosong Sun, Kaifeng Lyu, Wenguang Chen:
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules. CoRR abs/2503.12811 (2025) - [i376]Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Kenji Kawaguchi, Tat-Seng Chua, Xiang Wang:
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling. CoRR abs/2503.15567 (2025) - [i375]Fengxiang Wang, Hongzhen Wang, Mingshuo Chen, Di Wang, Yulin Wang, Zonghao Guo, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun:
XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? CoRR abs/2503.23771 (2025) - [i374]Bingxiang He, Wenbin Zhang, Jiaxi Song, Cheng Qian, Zixuan Fu, Bowen Sun, Ning Ding, Haiwen Hong, Longtao Huang, Hui Xue, Ganqu Cui, Wanxiang Che, Zhiyuan Liu, Maosong Sun:
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset. CoRR abs/2504.03612 (2025) - [i373]Haoyu Wang, Yujia Fu, Zhu Zhang, Shuo Wang, Zirui Ren, Xiaorong Wang, Zhili Li, Chaoqun He, Bo An, Zhiyuan Liu, Maosong Sun:
LLM⨉MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources. CoRR abs/2504.05732 (2025) - [i372]Yuxuan Chen, Dewen Guo, Sen Mei, Xinze Li, Hao Chen, Yishan Li, Yixuan Wang, Chaoyue Tang, Ruobing Wang, Dingjun Wu, Yukun Yan, Zhenghao Liu, Shi Yu, Zhiyuan Liu, Maosong Sun:
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation. CoRR abs/2504.08761 (2025) - [i371]Ji Qi, Yuan Yao, Yushi Bai, Bin Xu, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua:
An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes. CoRR abs/2504.15270 (2025) - [i370]Joy Lim Jia Yin, Daniel Zhang-Li, Jifan Yu, Haoxuan Li, Shangqing Tu, Yuanchun Wang, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu:
LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning. CoRR abs/2505.02078 (2025) - [i369]Yudong Wang, Zixuan Fu, Jie Cai, Peijun Tang, Hongya Lyu, Yewei Fang, Zhi Zheng, Jie Zhou, Guoyang Zeng, Chaojun Xiao, Xu Han, Zhiyuan Liu:
Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data. CoRR abs/2505.05427 (2025) - [i368]Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang:
Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs. CoRR abs/2505.11277 (2025) - [i367]Haotian Chen, Zijun Song, Boye Niu, Ke Zhang, Litu Ou, Yaxi Lu, Zhong Zhang, Xin Cong, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ToLeaP: Rethinking Development of Tool Learning with Large Language Models. CoRR abs/2505.11833 (2025) - [i366]Xuanhe Zhou, Junxuan He, Wei Zhou, Haodong Chen, Zirui Tang, Haoyu Zhao, Xin Tong, Guoliang Li, Youmin Chen, Jun Zhou, Zhaojun Sun, Binyuan Hui, Shuo Wang, Conghui He, Zhiyuan Liu, Jingren Zhou, Fan Wu:
A Survey of LLM ⨉ DATA. CoRR abs/2505.18458 (2025) - [i365]Weize Chen, Jiarui Yuan, Tailin Jin, Ning Ding, Huimin Chen, Zhiyuan Liu, Maosong Sun:
The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training. CoRR abs/2505.19217 (2025) - [i364]Yufan Dang, Chen Qian, Xueheng Luo, Jingru Fan, Zihao Xie, Ruijie Shi, Weize Chen, Cheng Yang, Xiaoyin Che, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun:
Multi-Agent Collaboration via Evolving Orchestration. CoRR abs/2505.19591 (2025) - [i363]Xiaorong Wang, Ting Yang, Zhu Zhang, Shuo Wang, Zihan Zhou, Liner Yang, Zhiyuan Liu, Maosong Sun:
Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning. CoRR abs/2505.20195 (2025) - [i362]Xuanle Zhao, Zilin Sang, Yuxuan Li, Qi Shi, Weilun Zhao, Shuo Wang, Duzhen Zhang, Xu Han, Zhiyuan Liu, Maosong Sun:
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage. CoRR abs/2505.20662 (2025) - [i361]Rennai Qiu, Chen Qian, Ran Li, Yufan Dang, Weize Chen, Cheng Yang, Yingli Zhang, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun:
Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development. CoRR abs/2505.21898 (2025) - [i360]Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Yishan Li, Yukun Yan, Shuo Wang, Zhiyuan Liu, Yu Gu, Minghe Yu, Ge Yu, Maosong Sun:
Learning to Route Queries Across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning. CoRR abs/2505.22095 (2025) - [i359]Zhuoyang Wu, Xinze Li, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Minghe Yu, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun:
EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning. CoRR abs/2505.22131 (2025) - [i358]Fei Qin, Zhanxin Hao, Jifan Yu, Zhiyuan Liu, Yu Zhang:
AI instructional agent improves student's perceived learner control and learning outcome: empirical evidence from a randomized controlled trial. CoRR abs/2505.22526 (2025) - [i357]Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding:
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. CoRR abs/2505.22617 (2025) - [i356]Yilong Li, Chen Qian, Yu Xia, Ruijie Shi, Yufan Dang, Zihao Xie, Ziming You, Weize Chen, Cheng Yang, Weichuan Liu, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun:
Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration. CoRR abs/2505.23187 (2025) - [i355]Hao Chen, Yukun Yan, Sen Mei, Wanxiang Che, Zhenghao Liu, Qi Shi, Xinze Li, Yuchun Fan, Pengcheng Huang, Qiushi Xiong, Zhiyuan Liu, Maosong Sun:
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation. CoRR abs/2505.24388 (2025) - [i354]Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Peipei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He:
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings. CoRR abs/2505.24550 (2025) - [i353]Zhong Zhang, Yaxi Lu, Yikun Fu, Yupeng Huo, Shenzhi Yang, Yesai Wu, Han Si, Xin Cong, Haotian Chen, Yankai Lin, Jie Xie, Wei Zhou, Wang Xu, Yuanheng Zhang, Zhou Su, Zhongwu Zhai, Xiaoming Liu, Yudong Mei, Jianming Xu, Hongyan Tian, Chongyi Wang, Chi Chen, Yuan Yao, Zhiyuan Liu, Maosong Sun:
AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning. CoRR abs/2506.01391 (2025) - [i352]Yongjian Li, HaoCheng Chu, Yukun Yan, Zhenghao Liu, Shi Yu, Zheni Zeng, Ruobing Wang, Sen Song, Zhiyuan Liu, Maosong Sun:
KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG. CoRR abs/2506.02503 (2025) - [i351]Zhanxin Hao, Jie Cao, Ruimiao Li, Jifan Yu, Zhiyuan Liu, Yu Zhang:
Mapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps. CoRR abs/2506.02993 (2025) - [i350]Yangyang Zhong, Ji Qi, Yuan Yao, Pengxin Luo, Yunfeng Yan, Donglian Qi, Zhiyuan Liu, Tat-Seng Chua:
TextVidBench: A Benchmark for Long Video Scene Text Understanding. CoRR abs/2506.04983 (2025) - [i349]Yiju Guo, Wenkai Yang, Zexu Sun, Ning Ding, Zhiyuan Liu, Yankai Lin:
Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning. CoRR abs/2506.07851 (2025) - [i348]Chaojun Xiao, Yuxuan Li, Xu Han, Yuzhuo Bai, Jie Cai, Haotian Chen, Wentong Chen, Xin Cong, Ganqu Cui, Ning Ding, Shengda Fan, Yewei Fang, Zixuan Fu, Wenyu Guan, Yitong Guan, Junshao Guo, Yufeng Han, Bingxiang He, Yuxiang Huang, Cunliang Kong, Qiuzuo Li, Siyuan Li, Wenhao Li, Yanghao Li, Yishan Li, Zhen Li, Dan Liu, Biyuan Lin, Yankai Lin, Xiang Long, Quanyu Lu, Yaxi Lu, Peiyan Luo, Hongya Lyu, Litu Ou, Yinxu Pan, Zekai Qu, Qundong Shi, Zijun Song, Jiayuan Su, Zhou Su, Ao Sun, Xianghui Sun, Peijun Tang, Fangzheng Wang, Feng Wang, Shuo Wang, Yudong Wang, Yesai Wu, Zhenyu Xiao, Jie Xie, Zihao Xie, Yukun Yan, Jiarui Yuan, Kaihuo Zhang, Lei Zhang, Linyue Zhang, Xueren Zhang, Yudi Zhang, Hengyu Zhao, Weilin Zhao, Weilun Zhao, Yuanqian Zhao, Zhi Zheng, Ge Zhou, Jie Zhou, Wei Zhou, Zihan Zhou, Zixuan Zhou, Zhiyuan Liu, Guoyang Zeng, Chao Jia, Dahai Li, Maosong Sun:
MiniCPM4: Ultra-Efficient LLMs on End Devices. CoRR abs/2506.07900 (2025) - [i347]Dingjun Wu, Yukun Yan, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs. CoRR abs/2506.09542 (2025) - [i346]Tianyu Yu, Bo Ji, Shouli Wang, Shu Yao, Zefan Wang, Ganqu Cui, Lifan Yuan, Ning Ding, Yuan Yao, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
RLPR: Extrapolating RLVR to General Domains without Verifiers. CoRR abs/2506.18254 (2025) - [i345]Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, Wenkang Wang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang:
PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs. CoRR abs/2507.05101 (2025) - [i344]Shangzhan Li, Zefan Wang, Ye He, Yuxuan Li, Qi Shi, Jianling Li, Yonggang Hu, Wanxiang Che, Xu Han, Zhiyuan Liu, Maosong Sun:
AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs. CoRR abs/2507.05687 (2025) - [i343]Chenyang Song, Weilin Zhao, Xu Han, Chaojun Xiao, Yingfa Chen, Yuxuan Li, Zhiyuan Liu, Maosong Sun:
BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity. CoRR abs/2507.08771 (2025) - [i342]Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou:
A Survey of Reinforcement Learning for Large Reasoning Models. CoRR abs/2509.08827 (2025) - [i341]Joy Lim Jia Yin, Daniel Zhang-Li, Jifan Yu, Xin Cong, Ye He, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu:
Learning in Context: Personalizing Educational Content with Large Language Models to Enhance Student Learning. CoRR abs/2509.15068 (2025) - [i340]Brian S. Lin, Jiaxin Yuan, Zihan Zhou, Shouli Wang, Shuo Wang, Cunliang Kong, Qi Shi, Yuxuan Li, Liner Yang, Zhiyuan Liu, Maosong Sun:
On LLM-Based Scientific Inductive Reasoning Beyond Equations. CoRR abs/2509.16226 (2025) - [i339]Tianyu Yu, Zefan Wang, Chongyi Wang, Fuwei Huang, Wenshuo Ma, Zhihui He, Tianchi Cai, Weize Chen, Yuxiang Huang, Yuanqian Zhao, Bokai Xu, Junbo Cui, Yingjing Xu, Liqing Ruan, Luoyuan Zhang, Hanyu Liu, Jingkun Tang, Hongyuan Liu, Qining Guo, Wenhao Hu, Bingxiang He, Jie Zhou, Jie Cai, Ji Qi, Zonghao Guo, Chi Chen, Guoyang Zeng, Yuxuan Li, Ganqu Cui, Ning Ding, Xu Han, Yuan Yao, Zhiyuan Liu, Maosong Sun:
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe. CoRR abs/2509.18154 (2025) - [i338]Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun:
BurstEngine: an Efficient Distributed Framework for Training Transformers on Extremely Long Sequences of over 1M Tokens. CoRR abs/2509.19836 (2025) - [i337]Xingyu Shen, Yingfa Chen, Zhen Leng Thai, Xu Han, Zhiyuan Liu, Maosong Sun:
StateX: Enhancing RNN Recall via Post-training State Expansion. CoRR abs/2509.22630 (2025) - [i336]Weilin Zhao, Zihan Zhou, Zhou Su, Chaojun Xiao, Yuxuan Li, Yanghao Li, Yudi Zhang, Weilun Zhao, Zhen Li, Yuxiang Huang, Ao Sun, Xu Han, Zhiyuan Liu:
InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation. CoRR abs/2509.24663 (2025) - [i335]Lifan Yuan, Weize Chen, Yuchen Zhang, Ganqu Cui, Hanbin Wang, Ziming You, Ning Ding, Zhiyuan Liu, Maosong Sun, Hao Peng:
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones. CoRR abs/2509.25123 (2025) - [i334]Junjie Wen, Minjie Zhu, Jiaming Liu, Zhiyuan Liu, Yicun Yang, Linfeng Zhang, Shanghang Zhang, Yichen Zhu, Yi Xu:
dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought. CoRR abs/2509.25681 (2025) - [i333]Zhaojun Sun, Xuzhou Zhu, Xuanhe Zhou, Xin Tong, Shuo Wang, Jie Fu, Guoliang Li, Zhiyuan Liu, Fan Wu:
SurveyBench: Can LLM(-Agents) Write Academic Surveys that Align with Reader Needs? CoRR abs/2510.03120 (2025) - [i332]Yubo Sun, Chunyi Peng, Yukun Yan, Shi Yu, Zhenghao Liu, Chi Chen, Zhiyuan Liu, Maosong Sun:
VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation. CoRR abs/2510.09733 (2025) - [i331]Yu Chao, Siyu Lin, Xiaorong Wang, Zhu Zhang, Zihan Zhou, Haoyu Wang, Shuo Wang, Jie Zhou, Zhiyuan Liu, Maosong Sun:
LLM⨉MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System. CoRR abs/2510.10890 (2025) - [i330]Joy Lim Jia Yin, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu:
Personalized Learning Path Planning with Goal-Driven Learner State Modeling. CoRR abs/2510.13215 (2025) - [i329]Yuxiang Huang, Chaojun Xiao, Xu Han, Zhiyuan Liu:
NOSA: Native and Offloadable Sparse Attention. CoRR abs/2510.13602 (2025) - [i328]Chang Wu, Zhiyuan Liu, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang:
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding. CoRR abs/2510.16780 (2025) - [i327]Zheyue Tan, Zhiyuan Liu, Tao Yuan, Dong Zhou, Weilin Liu, Yueqing Zhuang, Yadong Li, Guowei Niu, Cheng Qin, Zhuyu Yao, Congyi Liu, Haiyang Xu, Boxun Li, Guohao Dai, Bo Zhao, Yu Wang:
ReXMoE: Reusing Experts with Minimal Overhead in Mixture-of-Experts. CoRR abs/2510.17483 (2025) - [i326]Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao:
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling. CoRR abs/2510.22123 (2025) - [i325]Xing Wang, Huiyuan Xie, Yiyan Wang, Chaojun Xiao, Huimin Chen, Holli Sargeant, Felix Steffek, Jie Shao, Zhiyuan Liu, Maosong Sun:
Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts. CoRR abs/2511.20736 (2025) - [i324]Shichu Sun, Yichen Zhang, Haolin Song, Zonghao Guo, Chi Chen, Yidan Zhang, Yuan Yao, Zhiyuan Liu, Maosong Sun:
LLaVA-UHD v3: Progressive Visual Compression for Efficient Native-Resolution Encoding in MLLMs. CoRR abs/2511.21150 (2025) - [i323]Cheng Gao, Huimin Chen, Chaojun Xiao, Zhiyi Chen, Zhiyuan Liu, Maosong Sun:
H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs. CoRR abs/2512.01797 (2025) - [i322]Bingxiang He, Zekai Qu, Zeyuan Liu, Yinghao Chen, Yuxin Zuo, Cheng Qian, Kaiyan Zhang, Weize Chen, Chaojun Xiao, Ganqu Cui, Ning Ding, Zhiyuan Liu:
JustRL: Scaling a 1.5B LLM with a Simple RL Recipe. CoRR abs/2512.16649 (2025) - 2024
- [j59]Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for pre-trained vision-language models. AI Open 5: 30-38 (2024) - [j58]Chenyang Song, Zheni Zeng, Changyao Tian, Kuai Li, Yuan Yao, Suncong Zheng, Zhiyuan Liu, Maosong Sun:
Relation-aware deep neural network enables more efficient biomedical knowledge acquisition from massive literature. AI Open 5: 104-114 (2024) - [j57]Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu:
ChatMol: interactive molecular discovery with natural language. Bioinform. 40(9) (2024) - [j56]Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun:
Correction to: Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks. Mach. Intell. Res. 21(6): 1214 (2024) - [j55]Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng:
D-Bot: Database Diagnosis System using Large Language Models. Proc. VLDB Endow. 17(10): 2514-2527 (2024) - [j54]Weize Chen, Xu Han, Yankai Lin, Kaichen He, Ruobing Xie, Jie Zhou, Zhiyuan Liu, Maosong Sun:
Hyperbolic Pre-Trained Language Model. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3101-3112 (2024) - [j53]Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Jing Yi, Weize Chen, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3631-3643 (2024) - [j52]Shihao Liang, Runchu Tian, Kunlun Zhu, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun:
Exploring Format Consistency for Instruction Tuning. Trans. Mach. Learn. Res. 2024 (2024) - [c310]Chaoqun He, Renjie Luo, Shengding Hu, Ranchi Zhao, Jie Zhou, Hanghao Wu, Jiajie Zhang, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs. ACL (3) 2024: 247-257 - [c309]Zhili Cheng, Zhitong Wang, Jinyi Hu, Shengding Hu, An Liu, Yuge Tu, Pengkai Li, Lei Shi, Zhiyuan Liu, Maosong Sun:
LEGENT: Open Platform for Embodied Agents. ACL (3) 2024: 335-345 - [c308]Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. ACL (1) 2024: 1088-1113 - [c307]Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang:
MolTC: Towards Molecular Relational Modeling In Language Models. ACL (Findings) 2024: 1943-1958 - [c306]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. ACL (Findings) 2024: 2081-2107 - [c305]Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun:
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. ACL (1) 2024: 3828-3850 - [c304]Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li:
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. ACL (1) 2024: 4072-4091 - [c303]Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Haotian Hui, Weichuan Liu, Zhiyuan Liu, Maosong Sun:
DebugBench: Evaluating Debugging Capability of Large Language Models. ACL (Findings) 2024: 4173-4198 - [c302]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) 2024: 5353-5377 - [c301]Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Zihao Xie, Yifei Wang, Weize Chen, Cheng Yang, Xin Cong, Xiaoyin Che, Zhiyuan Liu, Maosong Sun:
Experiential Co-Learning of Software-Developing Agents. ACL (1) 2024: 5628-5640 - [c300]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) 2024: 5949-5966 - [c299]Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu:
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. ACL (Findings) 2024: 11143-11156 - [c298]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. ACL (Findings) 2024: 11789-11804 - [c297]Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. ACL (1) 2024: 11929-11942 - [c296]Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun:
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks. ACL (1) 2024: 12871-12882 - [c295]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. ACL (1) 2024: 14608-14624 - [c294]Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, Juyuan Xu, Dahai Li, Zhiyuan Liu, Maosong Sun:
ChatDev: Communicative Agents for Software Development. ACL (1) 2024: 15174-15186 - [c293]Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun:
ınftyBench: Extending Long Context Evaluation Beyond 100K Tokens. ACL (1) 2024: 15262-15277 - [c292]Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Empowering Private Tutoring by Chaining Large Language Models. CIKM 2024: 354-364 - [c291]Chaojun Xiao, Yutao Sun, Yuan Yao, Xu Han, Wenbin Zhang, Zhiyuan Liu, Maosong Sun:
Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training. LREC/COLING 2024: 7324-7335 - [c290]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion. LREC/COLING 2024: 7556-7561 - [c289]Yingfa Chen, Zhengyan Zhang, Xu Han, Chaojun Xiao, Zhiyuan Liu, Chen Chen, Kuai Li, Tao Yang, Maosong Sun:
Robust and Scalable Model Editing for Large Language Models. LREC/COLING 2024: 14157-14172 - [c288]Zhiyuan Liu, Wei Liu, Xinyang Tong, Qi Shen, Qiang Zheng, Hengrui Hu, Hong Liu, Xiaojie Wang:
ABCF: An Adaptive Balanced Multimodal Website Classification Framework. CSCWD 2024: 79-84 - [c287]Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang:
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CVPR 2024: 7007-7016 - [c286]Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback. CVPR 2024: 13807-13816 - [c285]Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. ECCV (16) 2024: 302-319 - [c284]Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang:
LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. ECCV (83) 2024: 390-406 - [c283]Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen:
Large Language Model-based Human-Agent Collaboration for Complex Task Solving. EMNLP (Findings) 2024: 1336-1357 - [c282]Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun:
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models. EMNLP 2024: 1401-1418 - [c281]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. EMNLP 2024: 1437-1454 - [c280]Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs. EMNLP 2024: 7086-7100 - [c279]He Cao, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang, Yuan Yao, Yu Li:
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. EMNLP (Findings) 2024: 10197-10224 - [c278]Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication. EMNLP (Findings) 2024: 10626-10641 - [c277]Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu:
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models. EMNLP 2024: 11543-11557 - [c276]Weilin Zhao, Yuxiang Huang, Xu Han, Wang Xu, Chaojun Xiao, Xinrong Zhang, Yewei Fang, Kaihuo Zhang, Zhiyuan Liu, Maosong Sun:
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding. EMNLP 2024: 13378-13393 - [c275]Zhiyuan Liu, Hong Liu, Denny Zhou, Tengyu Ma:
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems. ICLR 2024 - [c274]Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu:
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. ICLR 2024 - [c273]Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. ICLR 2024 - [c272]Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun:
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages. ICLR 2024 - [c271]Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Predicting Emergent Abilities with Infinite Resolution Evaluation. ICLR 2024 - [c270]Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. ICLR 2024 - [c269]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. ICLR 2024 - [c268]Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR 2024 - [c267]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. ICML 2024: 9722-9744 - [c266]Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. ICML 2024: 60040-60056 - [c265]Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua:
NExT-Chat: An LMM for Chat, Detection and Segmentation. ICML 2024: 60116-60133 - [c264]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. NAACL-HLT 2024: 831-854 - [c263]Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Chuan Shi, Zhiyuan Liu, Maosong Sun, Cheng Yang:
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models. NeurIPS 2024 - [c262]Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang:
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. NeurIPS 2024 - [c261]Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun:
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. NeurIPS 2024 - [c260]Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun:
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory. NeurIPS 2024 - [c259]Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che:
OneBit: Towards Extremely Low-bit Large Language Models. NeurIPS 2024 - [c258]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. NeurIPS 2024 - [i321]Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Zhiyuan Liu, Maosong Sun:
DebugBench: Evaluating Debugging Capability of Large Language Models. CoRR abs/2401.04621 (2024) - [i320]Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. CoRR abs/2401.13923 (2024) - [i319]Cheng Qian, Shihao Liang, Yujia Qin, Yining Ye, Xin Cong, Yankai Lin, Yesai Wu, Zhiyuan Liu, Maosong Sun:
Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution. CoRR abs/2401.13996 (2024) - [i318]Junjie Fang, Likai Tang, Hongzhe Bi, Yujia Qin, Si Sun, Zhenyu Li, Haolun Li, Yongjian Li, Xin Cong, Yukun Yan, Xiaodong Shi, Sen Song, Yankai Lin, Zhiyuan Liu, Maosong Sun:
UniMem: Towards a Unified View of Long-Context Large Language Models. CoRR abs/2402.03009 (2024) - [i317]Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang:
MolTC: Towards Molecular Relational Modeling In Language Models. CoRR abs/2402.03781 (2024) - [i316]Zhengyan Zhang, Yixin Song, Guanghui Yu, Xu Han, Yankai Lin, Chaojun Xiao, Chenyang Song, Zhiyuan Liu, Zeyu Mi, Maosong Sun:
ReLU2 Wins: Discovering Efficient Activation Functions for Sparse LLMs. CoRR abs/2402.03804 (2024) - [i315]Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. CoRR abs/2402.04588 (2024) - [i314]Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Song Han, Maosong Sun:
InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory. CoRR abs/2402.04617 (2024) - [i313]Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. CoRR abs/2402.09205 (2024) - [i312]Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che:
OneBit: Towards Extremely Low-bit Large Language Models. CoRR abs/2402.11295 (2024) - [i311]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. CoRR abs/2402.11453 (2024) - [i310]Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun:
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks. CoRR abs/2402.11455 (2024) - [i309]Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen:
Large Language Model-based Human-Agent Collaboration for Complex Task Solving. CoRR abs/2402.12914 (2024) - [i308]Chenyang Song, Xu Han, Zhengyan Zhang, Shengding Hu, Xiyu Shi, Kuai Li, Chen Chen, Zhiyuan Liu, Guangli Li, Tao Yang, Maosong Sun:
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models. CoRR abs/2402.13516 (2024) - [i307]Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu:
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning. CoRR abs/2402.13547 (2024) - [i306]Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun:
∞Bench: Extending Long Context Evaluation Beyond 100K Tokens. CoRR abs/2402.13718 (2024) - [i305]Weilin Zhao, Yuxiang Huang, Xu Han, Chaojun Xiao, Zhiyuan Liu, Maosong Sun:
Ouroboros: Speculative Decoding with Large Model Enhanced Drafting. CoRR abs/2402.13720 (2024) - [i304]Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun:
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. CoRR abs/2402.14008 (2024) - [i303]Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Chenyan Xiong, Ge Yu:
Cleaner Pretraining Corpus Curation with Neural Web Scraping. CoRR abs/2402.14652 (2024) - [i302]Yufei Huang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun:
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition. CoRR abs/2402.15175 (2024) - [i301]Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun:
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation. CoRR abs/2402.16667 (2024) - [i300]Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication. CoRR abs/2402.18439 (2024) - [i299]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. CoRR abs/2402.19085 (2024) - [i298]Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu:
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. CoRR abs/2403.07714 (2024) - [i297]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. CoRR abs/2403.08281 (2024) - [i296]Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su:
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences. CoRR abs/2403.09347 (2024) - [i295]Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang:
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR abs/2403.11703 (2024) - [i294]Yingfa Chen, Zhengyan Zhang, Xu Han, Chaojun Xiao, Zhiyuan Liu, Chen Chen, Kuai Li, Tao Yang, Maosong Sun:
Robust and Scalable Model Editing for Large Language Models. CoRR abs/2403.17431 (2024) - [i293]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i292]Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. CoRR abs/2404.06395 (2024) - [i291]Chaoqun He, Renjie Luo, Shengding Hu, Yuanqian Zhao, Jie Zhou, Hanghao Wu, Jiajie Zhang, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs. CoRR abs/2404.07584 (2024) - [i290]Zhili Cheng, Zhitong Wang, Jinyi Hu, Shengding Hu, An Liu, Yuge Tu, Pengkai Li, Lei Shi, Zhiyuan Liu, Maosong Sun:
LEGENT: Open Platform for Embodied Agents. CoRR abs/2404.18243 (2024) - [i289]Chen Qian, Jiahao Li, Yufan Dang, Wei Liu, Yifei Wang, Zihao Xie, Weize Chen, Cheng Yang, Yingli Zhang, Zhiyuan Liu, Maosong Sun:
Iterative Experience Refinement of Software-Developing Agents. CoRR abs/2405.04219 (2024) - [i288]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR abs/2405.12564 (2024) - [i287]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR abs/2405.14225 (2024) - [i286]Tianyu Yu, Haoye Zhang, Yuan Yao, Yunkai Dang, Da Chen, Xiaoman Lu, Ganqu Cui, Taiwen He, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness. CoRR abs/2405.17220 (2024) - [i285]Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Xinrong Zhang, Zhiyuan Liu, Chuan Shi, Maosong Sun:
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. CoRR abs/2406.03488 (2024) - [i284]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. CoRR abs/2406.03949 (2024) - [i283]Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang:
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CoRR abs/2406.05478 (2024) - [i282]Chen Qian, Zihao Xie, Yifei Wang, Wei Liu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Scaling Large-Language-Model-based Multi-Agent Collaboration. CoRR abs/2406.07155 (2024) - [i281]Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun:
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. CoRR abs/2406.08903 (2024) - [i280]Wentong Chen, Junbo Cui, Jinyi Hu, Yujia Qin, Junjie Fang, Yue Zhao, Chongyi Wang, Jun Liu, Guirong Chen, Yupeng Huo, Yuan Yao, Yankai Lin, Zhiyuan Liu, Maosong Sun:
GUICourse: From General Vision Language Models to Versatile GUI Agents. CoRR abs/2406.11317 (2024) - [i279]Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Huan-ang Gao, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity. CoRR abs/2406.11721 (2024) - [i278]Fengxiang Wang, Hongzhen Wang, Di Wang, Zonghao Guo, Zhenyu Zhong, Long Lan, Jing Zhang, Zhiyuan Liu, Maosong Sun:
Scaling Efficient Masked Autoencoder Learning on Large Remote Sensing Dataset. CoRR abs/2406.11933 (2024) - [i277]He Cao, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang, Yuan Yao, Yu Li:
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. CoRR abs/2406.13193 (2024) - [i276]Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu:
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models. CoRR abs/2406.15718 (2024) - [i275]Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, Linlu Gong, Jinchang Zhou, Zhiyuan Liu, Lei Hou, Juanzi Li:
Simulating Classroom Education with LLM-Empowered Agents. CoRR abs/2406.19226 (2024) - [i274]Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence. CoRR abs/2407.07061 (2024) - [i273]Junhao Chen, Shengding Hu, Zhiyuan Liu, Maosong Sun:
States Hidden in Hidden States: LLMs Emerge Discrete State Representations Implicitly. CoRR abs/2407.11421 (2024) - [i272]Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
PersLLM: A Personified Training Approach for Large Language Models. CoRR abs/2407.12393 (2024) - [i271]Yaolun Zhang, Yinxu Pan, Yudong Wang, Jie Cai, Zhi Zheng, Guoyang Zeng, Zhiyuan Liu:
PyBench: Evaluating LLM Agent on various real-world coding tasks. CoRR abs/2407.16732 (2024) - [i270]Kunlun Zhu, Yifan Luo, Dingling Xu, Ruobing Wang, Shi Yu, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework. CoRR abs/2408.01262 (2024) - [i269]Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, Qianyu Chen, Huarong Zhou, Zhensheng Zou, Haoye Zhang, Shengding Hu, Zhi Zheng, Jie Zhou, Jie Cai, Xu Han, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM-V: A GPT-4V Level MLLM on Your Phone. CoRR abs/2408.01800 (2024) - [i268]Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu:
Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement. CoRR abs/2408.05006 (2024) - [i267]Chi-Min Chan, Jianxuan Yu, Weize Chen, Chunyang Jiang, Xinyu Liu, Weijie Shi, Zhiyuan Liu, Wei Xue, Yike Guo:
AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent Systems. CoRR abs/2408.14972 (2024) - [i266]Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR abs/2409.00342 (2024) - [i265]Yingfa Chen, Chenlong Hu, Cong Feng, Chenyang Song, Shi Yu, Xu Han, Zhiyuan Liu, Maosong Sun:
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slip Scripts. CoRR abs/2409.01011 (2024) - [i264]Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun:
Configurable Foundation Models: Building LLMs from a Modular Perspective. CoRR abs/2409.02877 (2024) - [i263]Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun:
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. CoRR abs/2409.03512 (2024) - [i262]Daniel Zhang-Li, Zheyuan Zhang, Jifan Yu, Joy Lim Jia Yin, Shangqing Tu, Linlu Gong, Haohua Wang, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li:
Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination. CoRR abs/2409.07372 (2024) - [i261]Wang Xu, Shuo Wang, Weilin Zhao, Xu Han, Yukun Yan, Yudi Zhang, Zhe Tao, Zhiyuan Liu, Wanxiang Che:
Enabling Real-Time Conversations with Minimal Training Costs. CoRR abs/2409.11727 (2024) - [i260]Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Zhiyuan Liu, Chuan Shi, Maosong Sun, Cheng Yang:
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models. CoRR abs/2409.19667 (2024) - [i259]Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu:
Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads. CoRR abs/2410.01805 (2024) - [i258]Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. CoRR abs/2410.03440 (2024) - [i257]Yanchen Luo, Junfeng Fang, Sihang Li, Zhiyuan Liu, Jiancan Wu, An Zhang, Wenjie Du, Xiang Wang:
Text-guided Diffusion Model for 3D Molecule Generation. CoRR abs/2410.03803 (2024) - [i256]Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Yunqi Ba, Jie Zhou, Jie Cai, Zhiyuan Liu, Maosong Sun:
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models. CoRR abs/2410.05639 (2024) - [i255]Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs. CoRR abs/2410.06581 (2024) - [i254]Yingfa Chen, Xinrong Zhang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun:
Stuffed Mamba: State Collapse and State Capacity of RNN-Based Long-Context Modeling. CoRR abs/2410.07145 (2024) - [i253]Weize Chen, Jiarui Yuan, Chen Qian, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System. CoRR abs/2410.08115 (2024) - [i252]Ruobing Wang, Daren Zha, Shi Yu, Qingfei Zhao, Yuxuan Chen, Yixuan Wang, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation. CoRR abs/2410.08821 (2024) - [i251]Zihan Zhou, Chong Li, Xinyi Chen, Shuo Wang, Yu Chao, Zhili Li, Haoyu Wang, Rongqiao An, Qi Shi, Zhixing Tan, Xu Han, Xiaodong Shi, Zhiyuan Liu, Maosong Sun:
LLM⨉MapReduce: Simplified Long-Sequence Processing using Large Language Models. CoRR abs/2410.09342 (2024) - [i250]Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents. CoRR abs/2410.10594 (2024) - [i249]Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun:
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance. CoRR abs/2410.12361 (2024) - [i248]Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong:
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. CoRR abs/2410.13509 (2024) - [i247]Yuqi Luo, Chenyang Song, Xu Han, Yingfa Chen, Chaojun Xiao, Zhiyuan Liu, Maosong Sun:
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity. CoRR abs/2411.02335 (2024) - [i246]Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun:
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models. CoRR abs/2411.05451 (2024) - [i245]Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang:
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. CoRR abs/2411.06959 (2024) - [i244]Zheni Zeng, Yuxuan Chen, Shi Yu, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
KBAlign: Efficient Self Adaptation on Specific Knowledge Bases. CoRR abs/2411.14790 (2024) - [i243]Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng:
Free Process Rewards without Process Labels. CoRR abs/2412.01981 (2024) - [i242]Chaojun Xiao, Jie Cai, Weilin Zhao, Guoyang Zeng, Biyuan Lin, Jie Zhou, Zhi Zheng, Xu Han, Zhiyuan Liu, Maosong Sun:
Densing Law of LLMs. CoRR abs/2412.04315 (2024) - [i241]Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun:
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer. CoRR abs/2412.07720 (2024) - [i240]Yaorui Shi, Sihang Li, Taiyan Zhang, Xi Fang, Jiankun Wang, Zhiyuan Liu, Guojiang Zhao, Zhengdan Zhu, Zhifeng Gao, Renxin Zhong, Linfeng Zhang, Guolin Ke, Weinan E, Hengxing Cai, Xiang Wang:
Intelligent System for Automated Molecular Patent Infringement Assessment. CoRR abs/2412.07819 (2024) - [i239]Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Chi Chen, Jun Song, Bo Zheng, Yuan Yao, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer. CoRR abs/2412.13871 (2024) - 2023
- [j51]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving task generalization via unified schema prompt. AI Open 4: 120-129 (2023) - [j50]Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin:
UPRec: User-aware Pre-training for sequential Recommendation. AI Open 4: 137-144 (2023) - [j49]Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun:
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks. Mach. Intell. Res. 20(2): 180-193 (2023) - [j48]Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun:
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5(3): 220-235 (2023) - [j47]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Sub-Character Tokenization for Chinese Pretrained Language Models. Trans. Assoc. Comput. Linguistics 11: 469-487 (2023) - [j46]Biru Zhu, Ganqu Cui, Yangyi Chen, Yujia Qin, Lifan Yuan, Chong Fu, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training. Trans. Assoc. Comput. Linguistics 11: 1608-1623 (2023) - [j45]Yilin Zhang, Ziran Li, Zhiyuan Liu, Hai-Tao Zheng, Ying Shen, Lan Zhou:
Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3858-3869 (2023) - [j44]Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu:
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2271-2283 (2023) - [c257]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. AAAI 2023: 6583-6592 - [c256]Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu, Maosong Sun:
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer. ACL (2) 2023: 270-282 - [c255]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. ACL (demo) 2023: 274-281 - [c254]Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie:
Few-shot Classification with Hypersphere Modeling of Prototypes. ACL (Findings) 2023: 895-917 - [c253]Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. ACL (1) 2023: 1343-1367 - [c252]Zichun Yu, Chenyan Xiong, Shi Yu, Zhiyuan Liu:
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In. ACL (1) 2023: 2421-2436 - [c251]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. ACL (Findings) 2023: 4066-4083 - [c250]Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun:
Won't Get Fooled Again: Answering Questions with False Premises. ACL (1) 2023: 5626-5643 - [c249]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. ACL (1) 2023: 8272-8285 - [c248]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. ACL (1) 2023: 8968-8988 - [c247]Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, Weixing Shen:
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation. ACL (Findings) 2023: 9206-9227 - [c246]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) 2023: 9607-9632 - [c245]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. ACL (Findings) 2023: 10400-10420 - [c244]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. ACL (1) 2023: 10641-10658 - [c243]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. ACL (Findings) 2023: 11403-11426 - [c242]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. ACL (Findings) 2023: 11560-11574 - [c241]Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Decoder Tuning: Efficient Language Understanding as Decoding. ACL (1) 2023: 15072-15087 - [c240]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. ACL (1) 2023: 15428-15444 - [c239]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun:
Plug-and-Play Document Modules for Pre-trained Models. ACL (1) 2023: 15713-15729 - [c238]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CIKM 2023: 1534-1544 - [c237]Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen:
MUSER: A Multi-View Similar Case Retrieval Dataset. CIKM 2023: 5336-5340 - [c236]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. EMNLP 2023: 3029-3051 - [c235]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. EMNLP 2023: 4133-4145 - [c234]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) 2023: 5506-5520 - [c233]Cheng Qian, Chi Han, Yi Ren Fung, Yujia Qin, Zhiyuan Liu, Heng Ji:
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models. EMNLP (Findings) 2023: 6922-6939 - [c232]Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. EMNLP 2023: 7470-7483 - [c231]Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. EMNLP (Findings) 2023: 9947-9959 - [c230]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. EMNLP (Findings) 2023: 11052-11067 - [c229]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun:
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP 2023: 15062-15078 - [c228]Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP 2023: 15623-15638 - [c227]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval. ICLR 2023 - [c226]Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang:
GLM-130B: An Open Bilingual Pre-trained Model. ICLR 2023 - [c225]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS 2023 - [c224]Yuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training. NeurIPS 2023 - [c223]Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun:
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations. NeurIPS 2023 - [c222]Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
VPGTrans: Transfer Visual Prompt Generator across LLMs. NeurIPS 2023 - [c221]Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. SIGIR 2023: 3160-3164 - [c220]Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu:
Knowledge-Adaptive Contrastive Learning for Recommendation. WSDM 2023: 535-543 - [i238]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. CoRR abs/2302.07324 (2023) - [i237]Ming Li, Yusheng Su, Hsiu-Yuan Huang, Jiali Cheng, Xin Hu, Xinmiao Zhang, Huadong Wang, Yujia Qin, Xiaozhi Wang, Zhiyuan Liu, Dan Zhang:
Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference. CoRR abs/2302.09582 (2023) - [i236]Zihao Fu, Wai Lam, Qian Yu, Anthony Man-Cho So, Shengding Hu, Zhiyuan Liu, Nigel Collier:
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder. CoRR abs/2304.04052 (2023) - [i235]Si Sun, Yida Lu, Shi Yu, Xiangyang Li, Zhonghua Li, Zhao Cao, Zhiyuan Liu, Deiming Ye, Jie Bao:
Rethinking Dense Retrieval's Few-Shot Ability. CoRR abs/2304.05845 (2023) - [i234]Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun:
Tool Learning with Foundation Models. CoRR abs/2304.08354 (2023) - [i233]Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
Transfer Visual Prompt Generator across LLMs. CoRR abs/2305.01278 (2023) - [i232]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. CoRR abs/2305.06849 (2023) - [i231]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. CoRR abs/2305.08702 (2023) - [i230]Jinyi Hu, Xu Han, Xiaoyuan Yi, Yutong Chen, Wenhao Li, Zhiyuan Liu, Maosong Sun:
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots. CoRR abs/2305.11540 (2023) - [i229]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. CoRR abs/2305.14233 (2023) - [i228]Cheng Qian, Chi Han, Yi R. Fung, Yujia Qin, Zhiyuan Liu, Heng Ji:
CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation. CoRR abs/2305.14318 (2023) - [i227]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. CoRR abs/2305.14685 (2023) - [i226]Zichun Yu, Chenyan Xiong, Shi Yu, Zhiyuan Liu:
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In. CoRR abs/2305.17331 (2023) - [i225]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun:
Plug-and-Play Document Modules for Pre-trained Models. CoRR abs/2305.17660 (2023) - [i224]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. CoRR abs/2305.17670 (2023) - [i223]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. CoRR abs/2305.17691 (2023) - [i222]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. CoRR abs/2305.18390 (2023) - [i221]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. CoRR abs/2305.18503 (2023) - [i220]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. CoRR abs/2305.19500 (2023) - [i219]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. CoRR abs/2305.19912 (2023) - [i218]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun:
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models. CoRR abs/2306.02320 (2023) - [i217]Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun:
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. CoRR abs/2306.04618 (2023) - [i216]Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, Weixing Shen:
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation. CoRR abs/2306.06918 (2023) - [i215]Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR abs/2306.09296 (2023) - [i214]Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu:
Interactive Molecular Discovery with Natural Language. CoRR abs/2306.11976 (2023) - [i213]Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun:
Won't Get Fooled Again: Answering Questions with False Premises. CoRR abs/2307.02394 (2023) - [i212]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. CoRR abs/2307.03084 (2023) - [i211]Weilin Zhao, Yuxiang Huang, Xu Han, Zhiyuan Liu, Zhengyan Zhang, Maosong Sun:
CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models. CoRR abs/2307.07705 (2023) - [i210]Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, Maosong Sun:
Communicative Agents for Software Development. CoRR abs/2307.07924 (2023) - [i209]Shihao Liang, Kunlun Zhu, Runchu Tian, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun:
Exploring Format Consistency for Instruction Tuning. CoRR abs/2307.15504 (2023) - [i208]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR abs/2307.16789 (2023) - [i207]Xuanhe Zhou, Guoliang Li, Zhiyuan Liu:
LLM As DBA. CoRR abs/2308.05481 (2023) - [i206]Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu:
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. CoRR abs/2308.07201 (2023) - [i205]Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. CoRR abs/2308.10848 (2023) - [i204]Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun:
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages. CoRR abs/2308.12038 (2023) - [i203]Yining Ye, Xin Cong, Yujia Qin, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Large Language Model as Autonomous Decision Maker. CoRR abs/2308.12519 (2023) - [i202]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CoRR abs/2308.14029 (2023) - [i201]Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Empowering Private Tutoring by Chaining Large Language Models. CoRR abs/2309.08112 (2023) - [i200]Chenyang Song, Xu Han, Zheni Zeng, Kuai Li, Chen Chen, Zhiyuan Liu, Maosong Sun, Tao Yang:
ConPET: Continual Parameter-Efficient Tuning for Large Language Models. CoRR abs/2309.14763 (2023) - [i199]Tianyu Yu, Jinyi Hu, Yuan Yao, Haoye Zhang, Yue Zhao, Chongyi Wang, Shan Wang, Yinxv Pan, Jiao Xue, Dahai Li, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants. CoRR abs/2310.00653 (2023) - [i198]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, Maosong Sun:
UltraFeedback: Boosting Language Models with High-quality Feedback. CoRR abs/2310.01377 (2023) - [i197]Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Unlock Predictable Scaling from Emergent Abilities. CoRR abs/2310.03262 (2023) - [i196]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. CoRR abs/2310.05155 (2023) - [i195]Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR abs/2310.12798 (2023) - [i194]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. CoRR abs/2310.12818 (2023) - [i193]Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou:
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. CoRR abs/2310.13540 (2023) - [i192]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR abs/2310.13590 (2023) - [i191]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. CoRR abs/2310.14037 (2023) - [i190]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR abs/2310.14753 (2023) - [i189]Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen:
MUSER: A Multi-View Similar Case Retrieval Dataset. CoRR abs/2310.15602 (2023) - [i188]Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. CoRR abs/2310.15724 (2023) - [i187]Peixuan Han, Zhenghao Liu, Zhiyuan Liu, Chenyan Xiong:
Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs. CoRR abs/2310.16605 (2023) - [i186]Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li:
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. CoRR abs/2311.09105 (2023) - [i185]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing. CoRR abs/2311.09868 (2023) - [i184]Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ProAgent: From Robotic Process Automation to Agentic Process Automation. CoRR abs/2311.10751 (2023) - [i183]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. CoRR abs/2311.11696 (2023) - [i182]Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun, Tat-Seng Chua:
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback. CoRR abs/2312.00849 (2023) - [i181]Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng:
D-Bot: Database Diagnosis System using Large Language Models. CoRR abs/2312.01454 (2023) - [i180]Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Experiential Co-Learning of Software-Developing Agents. CoRR abs/2312.17025 (2023) - [i179]Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Yujia Qin, Yining Ye, Yaxi Lu, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun:
GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension. CoRR abs/2312.17294 (2023) - 2022
- [j43]Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun:
PTR: Prompt Tuning with Rules for Text Classification. AI Open 3: 182-192 (2022) - [j42]Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter:
Spatial relation learning in complementary scenarios with deep neural networks. Frontiers Neurorobotics 16 (2022) - [j41]Huadong Wang, Xin Shen, Mei Tu, Yimeng Zhuang, Zhiyuan Liu:
Improved Transformer With Multi-Head Dense Collaboration. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2754-2767 (2022) - [j40]Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu:
Guest Editorial: Special Issue on Social Media Computing. IEEE Trans. Big Data 8(4): 953-954 (2022) - [j39]Chuan Shi, Yuanfu Lu, Linmei Hu, Zhiyuan Liu, Huadong Ma:
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding. IEEE Trans. Knowl. Data Eng. 34(1): 433-447 (2022) - [j38]Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin:
COSINE: Compressive Network Embedding on Large-Scale Information Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3655-3668 (2022) - [j37]Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu:
A Unified Understanding of Deep NLP Models for Text Classification. IEEE Trans. Vis. Comput. Graph. 28(12): 4980-4994 (2022) - [c219]Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. AAAI 2022: 2804-2812 - [c218]Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, Maosong Sun:
OpenPrompt: An Open-source Framework for Prompt-learning. ACL (demo) 2022: 105-113 - [c217]Yining Ye, Fanchao Qi, Zhiyuan Liu, Maosong Sun:
Going "Deeper": Structured Sememe Prediction via Transformer with Tree Attention. ACL (Findings) 2022: 128-138 - [c216]Fanchao Qi, Chuancheng Lv, Zhiyuan Liu, Xiaojun Meng, Maosong Sun, Hai-Tao Zheng:
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information. ACL (Findings) 2022: 158-168 - [c215]Feng Yao, Chaojun Xiao, Xiaozhi Wang, Zhiyuan Liu, Lei Hou, Cunchao Tu, Juanzi Li, Yun Liu, Weixing Shen, Maosong Sun:
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset. ACL (Findings) 2022: 183-201 - [c214]Xu Han, Guoyang Zeng, Weilin Zhao, Zhiyuan Liu, Zhengyan Zhang, Jie Zhou, Jun Zhang, Jia Chao, Maosong Sun:
BMInf: An Efficient Toolkit for Big Model Inference and Tuning. ACL (demo) 2022: 224-230 - [c213]Fanchao Qi, Yanhui Yang, Jing Yi, Zhili Cheng, Zhiyuan Liu, Maosong Sun:
QuoteR: A Benchmark of Quote Recommendation for Writing. ACL (1) 2022: 336-348 - [c212]Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. ACL (2) 2022: 523-529 - [c211]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. ACL (Findings) 2022: 877-890 - [c210]Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu:
bert2BERT: Towards Reusable Pretrained Language Models. ACL (1) 2022: 2134-2148 - [c209]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. ACL (1) 2022: 2225-2240 - [c208]Xu Han, Yuqi Luo, Weize Chen, Zhiyuan Liu, Maosong Sun, Botong Zhou, Fei Hao, Suncong Zheng:
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages. ACL (1) 2022: 2241-2250 - [c207]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. ACL (Findings) 2022: 2789-2810 - [c206]Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang:
Prompt Tuning for Discriminative Pre-trained Language Models. ACL (Findings) 2022: 3468-3473 - [c205]Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. ACL (Findings) 2022: 3570-3581 - [c204]Biru Zhu, Yujia Qin, Fanchao Qi, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models. ACL (1) 2022: 5060-5072 - [c203]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. ACL (1) 2022: 5672-5686 - [c202]Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu:
Prototypical Verbalizer for Prompt-based Few-shot Tuning. ACL (1) 2022: 7014-7024 - [c201]Shulin Cao, Jiaxin Shi, Zijun Yao, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Zhiyuan Liu, Jinghui Xiao:
Program Transfer for Answering Complex Questions over Knowledge Bases. ACL (1) 2022: 8128-8140 - [c200]Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang:
PPT: Pre-trained Prompt Tuning for Few-shot Learning. ACL (1) 2022: 8410-8423 - [c199]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. COLING 2022: 4965-4975 - [c198]Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. ECCV (27) 2022: 409-424 - [c197]Zhengyan Zhang, Baitao Gong, Yingfa Chen, Xu Han, Guoyang Zeng, Weilin Zhao, Yanxu Chen, Zhiyuan Liu, Maosong Sun:
BMCook: A Task-agnostic Compression Toolkit for Big Models. EMNLP (Demos) 2022: 396-405 - [c196]Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. EMNLP 2022: 926-941 - [c195]Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning. EMNLP (Findings) 2022: 3348-3366 - [c194]Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu:
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models. EMNLP 2022: 5015-5035 - [c193]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. EMNLP 2022: 5692-5698 - [c192]Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao:
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. EMNLP 2022: 6639-6654 - [c191]Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Exploring Mode Connectivity for Pre-trained Language Models. EMNLP 2022: 6726-6746 - [c190]Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu:
FPT: Improving Prompt Tuning Efficiency via Progressive Training. EMNLP (Findings) 2022: 6877-6887 - [c189]Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
Prompt-learning for Fine-grained Entity Typing. EMNLP (Findings) 2022: 6888-6901 - [c188]Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. EMNLP 2022: 11104-11117 - [c187]Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, Lei Hou, Zhiyuan Liu, Juanzi Li:
Finding Skill Neurons in Pre-trained Transformer-based Language Models. EMNLP 2022: 11132-11152 - [c186]Yangyi Chen, Fanchao Qi, Hongcheng Gao, Zhiyuan Liu, Maosong Sun:
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. EMNLP 2022: 11215-11221 - [c185]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. EMNLP 2022: 11222-11237 - [c184]Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang:
Effective Few-Shot Named Entity Linking by Meta-Learning. ICDE 2022: 178-191 - [c183]Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022: 14139-14152 - [c182]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. NAACL-HLT (Findings) 2022: 1799-1810 - [c181]Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. NAACL-HLT 2022: 3921-3937 - [c180]Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Processing. NAACL-HLT 2022: 3949-3969 - [c179]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. NAACL-HLT 2022: 4230-4243 - [c178]Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun:
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. NeurIPS 2022 - [c177]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Delta Tuning. NeurIPS 2022 - [c176]Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu:
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. NeurIPS 2022 - [c175]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. SIGIR 2022: 1956-1962 - [i178]Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022) - [i177]Fanchao Qi, Yanhui Yang, Jing Yi, Zhili Cheng, Zhiyuan Liu, Maosong Sun:
QuoteR: A Benchmark of Quote Recommendation for Writing. CoRR abs/2202.13145 (2022) - [i176]Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. CoRR abs/2202.13392 (2022) - [i175]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. CoRR abs/2203.06311 (2022) - [i174]Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun:
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR abs/2203.06904 (2022) - [i173]Fanchao Qi, Chuancheng Lv, Zhiyuan Liu, Xiaojun Meng, Maosong Sun, Hai-Tao Zheng:
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information. CoRR abs/2203.07426 (2022) - [i172]Feng Yao, Chaojun Xiao, Xiaozhi Wang, Zhiyuan Liu, Lei Hou, Cunchao Tu, Juanzi Li, Yun Liu, Weixing Shen, Maosong Sun:
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset. CoRR abs/2203.08556 (2022) - [i171]Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu:
Prototypical Verbalizer for Prompt-based Few-shot Tuning. CoRR abs/2203.09770 (2022) - [i170]Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. CoRR abs/2203.11654 (2022) - [i169]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. CoRR abs/2204.05239 (2022) - [i168]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. CoRR abs/2205.01886 (2022) - [i167]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. CoRR abs/2205.03284 (2022) - [i166]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. CoRR abs/2205.04040 (2022) - [i165]Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang:
Prompt Tuning for Discriminative Pre-trained Language Models. CoRR abs/2205.11166 (2022) - [i164]Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. CoRR abs/2205.11169 (2022) - [i163]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Parameter-Efficient Tuning. CoRR abs/2206.07382 (2022) - [i162]Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun:
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. CoRR abs/2206.08514 (2022) - [i161]Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu:
A Unified Understanding of Deep NLP Models for Text Classification. CoRR abs/2206.09355 (2022) - [i160]Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for General Architectures. CoRR abs/2206.11357 (2022) - [i159]Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang:
Effective Few-Shot Named Entity Linking by Meta-Learning. CoRR abs/2207.05280 (2022) - [i158]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving Task Generalization via Unified Schema Prompt. CoRR abs/2208.03229 (2022) - [i157]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Multi-Modality Retrieval with One Unified Embedding Space. CoRR abs/2209.00179 (2022) - [i156]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. CoRR abs/2209.09401 (2022) - [i155]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. CoRR abs/2210.10683 (2022) - [i154]Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning. CoRR abs/2210.13311 (2022) - [i153]Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Exploring Mode Connectivity for Pre-trained Language Models. CoRR abs/2210.14102 (2022) - [i152]Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao:
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. CoRR abs/2210.17167 (2022) - [i151]Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. CoRR abs/2211.00151 (2022) - [i150]Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu:
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models. CoRR abs/2211.04079 (2022) - [i149]Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie:
Few-shot Classification with Hypersphere Modeling of Prototypes. CoRR abs/2211.05319 (2022) - [i148]Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu:
FPT: Improving Prompt Tuning Efficiency via Progressive Training. CoRR abs/2211.06840 (2022) - [i147]Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. CoRR abs/2211.07342 (2022) - [i146]Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, Lei Hou, Zhiyuan Liu, Juanzi Li:
Finding Skill Neurons in Pre-trained Transformer-based Language Models. CoRR abs/2211.07349 (2022) - [i145]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. CoRR abs/2211.12054 (2022) - [i144]Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Decoder Tuning: Efficient Language Understanding as Decoding. CoRR abs/2212.08408 (2022) - 2021
- [b3]Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun:
Network Embedding: Theories, Methods, and Applications. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00462-9, pp. 1-242 - [j36]Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Qun Liu, Maosong Sun:
Know what you don't need: Single-Shot Meta-Pruning for attention heads. AI Open 2: 36-42 (2021) - [j35]Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, Cunchao Tu, Maosong Sun:
Lawformer: A pre-trained language model for Chinese legal long documents. AI Open 2: 79-84 (2021) - [j34]Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A large-scale generative Chinese Pre-trained language model. AI Open 2: 93-99 (2021) - [j33]Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun:
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models. AI Open 2: 127-134 (2021) - [j32]Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun:
CPM-2: Large-scale cost-effective pre-trained language models. AI Open 2: 216-224 (2021) - [j31]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j30]Xu Han, Zhengyan Zhang, Zhiyuan Liu:
Knowledgeable machine learning for natural language processing. Commun. ACM 64(11): 50-51 (2021) - [j29]Fanchao Qi, Ruobing Xie, Yuan Zang, Zhiyuan Liu, Maosong Sun:
Sememe knowledge computation: a review of recent advances in application and expansion of sememe knowledge bases. Frontiers Comput. Sci. 15(5): 155327 (2021) - [j28]Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. Frontiers Big Data 4: 602071 (2021) - [j27]Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu:
Text-Graph Enhanced Knowledge Graph Representation Learning. Frontiers Artif. Intell. 4: 697856 (2021) - [j26]Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin:
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science. J. Soc. Comput. 2(2): 103-156 (2021) - [j25]Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang:
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. Trans. Assoc. Comput. Linguistics 9: 176-194 (2021) - [j24]YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun:
CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2930-2941 (2021) - [j23]Huimin Chen, Zeyu Zhu, Fanchao Qi, Yining Ye, Zhiyuan Liu, Maosong Sun, Jianbin Jin:
Country Image in COVID-19 Pandemic: A Case Study of China. IEEE Trans. Big Data 7(1): 81-92 (2021) - [j22]Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan:
Neural Diffusion Model for Microscopic Cascade Study. IEEE Trans. Knowl. Data Eng. 33(3): 1128-1139 (2021) - [j21]Changhe Song, Cheng Yang, Huimin Chen, Cunchao Tu, Zhiyuan Liu, Maosong Sun:
CED: Credible Early Detection of Social Media Rumors. IEEE Trans. Knowl. Data Eng. 33(8): 3035-3047 (2021) - [c174]Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Adversarial Language Games for Advanced Natural Language Intelligence. AAAI 2021: 14248-14256 - [c173]Guoyang Zeng, Fanchao Qi, Qianrui Zhou, Tingji Zhang, Zixian Ma, Bairu Hou, Yuan Zang, Zhiyuan Liu, Maosong Sun:
OpenAttack: An Open-source Textual Adversarial Attack Toolkit. ACL (demo) 2021: 363-371 - [c172]Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, Maosong Sun:
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. ACL/IJCNLP (1) 2021: 443-453 - [c171]Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. ACL/IJCNLP (Findings) 2021: 1306-1318 - [c170]Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning. ACL/IJCNLP (Findings) 2021: 1569-1576 - [c169]Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun:
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. ACL/IJCNLP (Findings) 2021: 1751-1763 - [c168]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-shot Named Entity Recognition Dataset. ACL/IJCNLP (1) 2021: 3198-3213 - [c167]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. ACL/IJCNLP (1) 2021: 3350-3363 - [c166]Fanchao Qi, Yangyi Chen, Fengyu Wang, Zhiyuan Liu, Xiao Chen, Maosong Sun:
Automatic Construction of Sememe Knowledge Bases via Dictionaries. ACL/IJCNLP (Findings) 2021: 4673-4686 - [c165]Fanchao Qi, Yuan Yao, Sophia Xu, Zhiyuan Liu, Maosong Sun:
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution. ACL/IJCNLP (1) 2021: 4873-4883 - [c164]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. ACL/IJCNLP (1) 2021: 5030-5043 - [c163]Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou:
CLEVE: Contrastive Pre-training for Event Extraction. ACL/IJCNLP (1) 2021: 6283-6297 - [c162]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. EMNLP (Findings) 2021: 1684-1690 - [c161]Yuan Yao, Jiaju Du, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun:
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild. EMNLP (1) 2021: 4452-4472 - [c160]Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, Maosong Sun:
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer. EMNLP (1) 2021: 4569-4580 - [c159]Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai:
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. EMNLP (1) 2021: 8899-8911 - [c158]Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu, Maosong Sun:
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. EMNLP (1) 2021: 9558-9566 - [c157]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. ICCV 2021: 15796-15806 - [c156]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. ICTIR 2021: 287-296 - [c155]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IROS 2021: 2686-2692 - [c154]Sherry Ruan, Liwei Jiang, Qianyao Xu, Zhiyuan Liu, Glenn M. Davis, Emma Brunskill, James A. Landay:
EnglishBot: An AI-Powered Conversational System for Second Language Learning. IUI 2021: 434-444 - [c153]Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Open Hierarchical Relation Extraction. NAACL-HLT 2021: 5682-5693 - [c152]Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Jie Bao:
Capturing Global Informativeness in Open Domain Keyphrase Extraction. NLPCC (2) 2021: 275-287 - [c151]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. SIGIR 2021: 829-838 - [c150]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun:
OpenMatch: An Open Source Library for Neu-IR Research. SIGIR 2021: 2531-2535 - [i143]Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun:
Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks. CoRR abs/2101.06969 (2021) - [i142]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. CoRR abs/2102.00166 (2021) - [i141]Zhiyuan Liu, Yankai Lin, Maosong Sun:
Representation Learning for Natural Language Processing. CoRR abs/2102.03732 (2021) - [i140]YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun:
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. CoRR abs/2102.03752 (2021) - [i139]Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin:
UPRec: User-Aware Pre-training for Recommender Systems. CoRR abs/2102.10989 (2021) - [i138]Yuzhong Wang, Chaojun Xiao, Shirong Ma, Haoxi Zhong, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
Equality before the Law: Legal Judgment Consistency Analysis for Fairness. CoRR abs/2103.13868 (2021) - [i137]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. CoRR abs/2103.15365 (2021) - [i136]Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai:
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. CoRR abs/2104.06751 (2021) - [i135]Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, Cunchao Tu, Maosong Sun:
Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents. CoRR abs/2105.03887 (2021) - [i134]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. CoRR abs/2105.04166 (2021) - [i133]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-Shot Named Entity Recognition Dataset. CoRR abs/2105.07464 (2021) - [i132]Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. CoRR abs/2105.09543 (2021) - [i131]Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun:
PTR: Prompt Tuning with Rules for Text Classification. CoRR abs/2105.11259 (2021) - [i130]Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, Maosong Sun:
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. CoRR abs/2105.12400 (2021) - [i129]Fanchao Qi, Yangyi Chen, Fengyu Wang, Zhiyuan Liu, Xiao Chen, Maosong Sun:
Automatic Construction of Sememe Knowledge Bases via Dictionaries. CoRR abs/2105.12585 (2021) - [i128]Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, YuSheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. CoRR abs/2105.13880 (2021) - [i127]Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou:
CLEVE: Contrastive Pre-training for Event Extraction. CoRR abs/2105.14485 (2021) - [i126]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. CoRR abs/2105.14686 (2021) - [i125]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining. CoRR abs/2106.00400 (2021) - [i124]Fanchao Qi, Yuan Yao, Sophia Xu, Zhiyuan Liu, Maosong Sun:
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution. CoRR abs/2106.06361 (2021) - [i123]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i122]Ganqu Cui, Yufeng Du, Cheng Yang, Jie Zhou, Liang Xu, Lifeng Wang, Zhiyuan Liu:
Evaluating Modules in Graph Contrastive Learning. CoRR abs/2106.08171 (2021) - [i121]Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun:
CPM-2: Large-scale Cost-effective Pre-trained Language Models. CoRR abs/2106.10715 (2021) - [i120]Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin:
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science. CoRR abs/2106.14198 (2021) - [i119]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. CoRR abs/2107.07773 (2021) - [i118]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. CoRR abs/2107.12095 (2021) - [i117]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. CoRR abs/2108.02035 (2021) - [i116]Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
Prompt-Learning for Fine-Grained Entity Typing. CoRR abs/2108.10604 (2021) - [i115]Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang:
PPT: Pre-trained Prompt Tuning for Few-shot Learning. CoRR abs/2109.04332 (2021) - [i114]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. CoRR abs/2109.04562 (2021) - [i113]Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models. CoRR abs/2109.11797 (2021) - [i112]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Conditional Computation of Transformer Models for Efficient Inference. CoRR abs/2110.01786 (2021) - [i111]Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, Maosong Sun:
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer. CoRR abs/2110.07139 (2021) - [i110]Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu:
bert2BERT: Towards Reusable Pretrained Language Models. CoRR abs/2110.07143 (2021) - [i109]Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning. CoRR abs/2110.07867 (2021) - [i108]Yangyi Chen, Fanchao Qi, Zhiyuan Liu, Maosong Sun:
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. CoRR abs/2110.08247 (2021) - [i107]Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
OpenPrompt: An Open-source Framework for Prompt-learning. CoRR abs/2111.01998 (2021) - [i106]YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Understanding. CoRR abs/2111.06719 (2021) - [i105]Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. CoRR abs/2112.06197 (2021) - [i104]Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun:
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR abs/2112.13610 (2021) - 2020
- [b2]Zhiyuan Liu, Yankai Lin, Maosong Sun:
Representation Learning for Natural Language Processing. Springer 2020, ISBN 978-981-15-5572-5, pp. 1-334 - [b1]Zhiyuan Liu, Jie Zhou:
Introduction to Graph Neural Networks. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00459-9 - [j20]Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun:
Graph neural networks: A review of methods and applications. AI Open 1: 57-81 (2020) - [j19]Ayana, Ziyun Wang, Lei Xu, Zhiyuan Liu, Maosong Sun:
Topic-sensitive neural headline generation. Sci. China Inf. Sci. 63(8): 1-16 (2020) - [j18]Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. Frontiers Neurorobotics 14: 52 (2020) - [j17]Ruobing Xie, Stefan Heinrich, Zhiyuan Liu, Cornelius Weber, Yuan Yao, Stefan Wermter, Maosong Sun:
Integrating Image-Based and Knowledge-Based Representation Learning. IEEE Trans. Cogn. Dev. Syst. 12(2): 169-178 (2020) - [j16]Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun:
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2364-2373 (2020) - [j15]Ayana, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Reinforced Zero-Shot Cross-Lingual Neural Headline Generation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2572-2584 (2020) - [j14]Heiko Paulheim, Volker Tresp, Zhiyuan Liu:
Representation Learning for the Semantic Web. J. Web Semant. 61-62: 100570 (2020) - [c149]Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-Channel Reverse Dictionary Model. AAAI 2020: 312-319 - [c148]Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction. AAAI 2020: 1250-1257 - [c147]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. AAAI 2020: 7772-7779 - [c146]Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu:
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets. AAAI 2020: 8624-8631 - [c145]Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
JEC-QA: A Legal-Domain Question Answering Dataset. AAAI 2020: 9701-9708 - [c144]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL 2020: 1061-1071 - [c143]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. ACL 2020: 2031-2043 - [c142]Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang:
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. ACL 2020: 3135-3142 - [c141]Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence. ACL 2020: 5218-5230 - [c140]Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun:
Word-level Textual Adversarial Attacking as Combinatorial Optimization. ACL 2020: 6066-6080 - [c139]Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020: 6429-6440 - [c138]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Fine-grained Fact Verification with Kernel Graph Attention Network. ACL 2020: 7342-7351 - [c137]