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ORCIDJi-Rong Wen
Jirong Wen – 文继荣
Person information
- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Microsoft Research
- unicode name: 文继荣
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2020 – today
- 2026
[j151]Qi Wang, Yuan Mi
, Mengtao Yan, Yang Liu, Ji-Rong Wen, Hao Sun:
PhySimNet: Accelerating PDE simulations with physics-integrated learning. Comput. Phys. Commun. 326: 110220 (2026)- [j150]Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Zican Dong, Yupeng Hou, Beichen Zhang, Yingqian Min, Junjie Zhang, Peiyu Liu, Xiaolei Wang, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Yiwen Hu, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Large Language Models. Frontiers Comput. Sci. 20(12): 2012627 (2026) - [j149]Kepu Zhang, Weijie Yu, Zhongxiang Sun, Weicong Qin, Jun Xu, Ji-Rong Wen:
Empowering open-domain LLMs for legal document correction via legal knowledge integration and decoding constraints. Inf. Process. Manag. 63(6): 104703 (2026) - [j148]Kai Ruan, Yilong Xu, Ze-Feng Gao, Yang Liu, Yike Guo, Ji-Rong Wen, Hao Sun:
Discovering physical laws with parallel symbolic enumeration. Nat. Comput. Sci. 6(1): 53-66 (2026) - [j147]Yi Xu, Weiran Shen, Jun Xu, Xiao Zhang, Ji-Rong Wen:
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. IEEE Trans. Pattern Anal. Mach. Intell. 48(5): 5655-5671 (2026) - [j146]Kesha Ou, Zhen Tian, Wayne Xin Zhao, Long Zhang, Sheng Chen, Ji-Rong Wen:
Dual-Stream MLP Is All You Need for CTR Prediction. ACM Trans. Knowl. Discov. Data 20(6): 103:1-103:28 (2026) - [j145]Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Hierarchical Document-Aware Interest Profiling in Personalized Search. IEEE Trans. Knowl. Data Eng. 38(4): 2289-2300 (2026) - [j144]Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
A Model-agnostic Pre-training Framework for Search Result Diversification. ACM Trans. Inf. Syst. 44(1): 10:1-10:23 (2026) - [j143]Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Social Cognitive Theory Enhanced Diversified Recommendation. ACM Trans. Inf. Syst. 44(1): 11:1-11:24 (2026) - [j142]Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Haonan Chen, Zheng Liu, Zhicheng Dou, Ji-Rong Wen:
Large Language Models for Information Retrieval: A Survey. ACM Trans. Inf. Syst. 44(1): 12:1-12:54 (2026) - [j141]Qi Liu, Haozhe Duan, Jiaxin Mao, Ji-Rong Wen:
How Do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective. ACM Trans. Inf. Syst. 44(2): 34:1-34:27 (2026) - [j140]Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. ACM Trans. Inf. Syst. 44(3): C3:1 (2026) - [c456]Yifan Li, Kun Zhou, Xin Zhao, Lei Fang, Jirong Wen:
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective. AAAI 2026: 6636-6643 - [c455]Yu-Liang Zhan, Xinyu Tang, Han Wan, Jian Li, Jirong Wen, Hao Sun:
L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention. AAAI 2026: 12358-12366 - [c454]Rui Zou, Mengqi Wei, Yutao Zhu, Jirong Wen, Xin Zhao, Jing Chen:
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis. AAAI 2026: 17327-17335 - [c453]Jiejun Tan, Zhicheng Dou, Yan Yu, Jiehan Cheng, Lifeng Liu, Jian Xie, Jirong Wen:
HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches. AAAI 2026: 19380-19388 - [c452]Zhaoheng Huang, Yutao Zhu, Jirong Wen, Zhicheng Dou:
Evaluating the Factuality of Large Language Models Using Multiple Plug-and-Play Fact Sources. AAAI 2026: 41607-41609 - [c451]Yihong Liu, Junyi Li, Hongyu Lu, Xin Zhao, Ji-Rong Wen:
Experience-Driven Reflective Co-Evolution of Prompts and Heuristics for Autonomous Algorithm Design. ACL (Findings) 2026: 4981-4995 - [c450]Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis. ACL (Findings) 2026: 8326-8357 - [c449]Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li:
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. ACL (1) 2026: 11425-11460 - [c448]Haoxiang Sun, Yingqian Min, Zhipeng Chen, Xin Zhao, Ji-Rong Wen:
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models. ACL (1) 2026: 17438-17457 - [c447]Yuyao Zhang, Hongyu Lu, Jiajie Jin, Hongjin Qian, Shiyu Li, Zhao Yang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
Web Sitemap Knowledge Can Enhance Autonomous Browsing. ACL (Findings) 2026: 29307-29321 - [c446]Zhaoheng Huang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
LLM-Generated Text May Harm Your Retrieval! A Robust Detection Strategy for Retrieval-Augmented Generation. ACL (1) 2026: 31973-31988 - [c445]Zhaoheng Huang, Dacheng Wen, Yutao Zhu, Xiaoying Lian, Yushi Liang, Kai Hao, Nan Li, Liangjie Zhang, Qi Zhang, Ji-Rong Wen, Zhicheng Dou, Fangzhao Wu:
RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection. ACL (1) 2026: 32329-32347 - [c444]Jia Deng, Junyi Li, Xin Zhao, Jinpeng Wang, Hongyu Lu, Ji-Rong Wen:
Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models. ACL (1) 2026: 44502-44514 - [c443]Zebin You, Shen Nie, Xiaolu Zhang, Jun Zhou, Zhiwu Lu, Ji-Rong Wen, Chongxuan Li:
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning. CVPR 2026: 10093-10105 - [c442]Yifan Du, Kun Zhou, Yingqian Min, Yue Ling, Wayne Xin Zhao, Youbin Wu, Ji-Rong Wen:
Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization. CVPR 2026: 12019-12029 - [c441]Yingqian Min, Kun Zhou, Yifan Li, Yuhuan Wu, Han Peng, Yifan Du, Wayne Xin Zhao, Min Yang, Ji-Rong Wen:
Improving Vision-language Models with Perception-centric Process Reward Models. CVPR 2026: 33099-33109 - [c440]Guanting Dong, Hangyu Mao, Kai Ma, Licheng Bao, Yifei Chen, Zhongyuan Wang, Zhongxia Chen, Jiazhen Du, Huiyang Wang, Fuzheng Zhang, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
Agentic Reinforced Policy Optimization. ICLR 2026 - [c439]Yuan Mi, Qi Wang, Xueqin Hu, Yike Guo, Ji-Rong Wen, Yang Liu, Hao Sun:
Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement. KDD (1) 2026: 1066-1077 - [c438]Jixiang Hong, Yiran Zhang, Guanzhong Wang, Yi Liu, Ji-Rong Wen, Rui Yan:
SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-rewards. KDD (2) 2026: 1686-1697 - [c437]Huaying Yuan, Zheng Liu, Junjie Zhou, Hongjin Qian, Yan Shu, Nicu Sebe, Ji-Rong Wen, Zhicheng Dou:
VideoExplorer: Advancing Long-Horizon Video Understanding via Hierarchical Orchestration. KDD (2) 2026: 6350-6361 - [c436]Ji-Rong Wen:
From Search to Ask to Act: The Evolution of Information Access in the Age of Large Models and Agents. SIGIR 2026: 3 - [c435]Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen:
Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning. SIGIR 2026: 301-312 - [c434]Bowen Zheng, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Universal Item Tokenization for Transferable Generative Recommendation. SIGIR 2026: 2509-2520 - [c433]Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen:
Learning to Retrieve from Agent Trajectories. SIGIR 2026: 2544-2555 - [c432]Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning. WWW 2026: 2126-2137 - [c431]Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou:
DeepAgent: A General Reasoning Agent with Scalable Toolsets. WWW 2026: 2219-2230 - [c430]Kesha Ou, Zhen Tian, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen:
GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction. WWW 2026: 6709-6718 - [i371]Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis. CoRR abs/2601.05808 (2026) - [i370]Daixuan Cheng, Shaohan Huang, Yuxian Gu, Huatong Song, Guoxin Chen, Li Dong, Wayne Xin Zhao, Ji-Rong Wen, Furu Wei:
LLM-in-Sandbox Elicits General Agentic Intelligence. CoRR abs/2601.16206 (2026) - [i369]Kesha Ou, Zhen Tian, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen:
GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction. CoRR abs/2601.18251 (2026) - [i368]Bingqian Li, Xiaolei Wang, Junyi Li, Weitao Li, Long Zhang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen:
RecNet: Self-Evolving Preference Propagation for Agentic Recommender Systems. CoRR abs/2601.21609 (2026) - [i367]Zhipeng Chen, Xiaobo Qin, Wayne Xin Zhao, Youbin Wu, Ji-Rong Wen:
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning. CoRR abs/2602.00759 (2026) - [i366]Huatong Song, Lisheng Huang, Shuang Sun, Jinhao Jiang, Ran Le, Daixuan Cheng, Guoxin Chen, Yiwen Hu, Zongchao Chen, Yiming Jia, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen:
SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training. CoRR abs/2602.03411 (2026) - [i365]Shuang Sun, Huatong Song, Lisheng Huang, Jinhao Jiang, Ran Le, Zhihao Lv, Zongchao Chen, Yiwen Hu, Wenyang Luo, Wayne Xin Zhao, Yang Song, Hongteng Xu, Tao Zhang, Ji-Rong Wen:
SWE-World: Building Software Engineering Agents in Docker-Free Environments. CoRR abs/2602.03419 (2026) - [i364]Yutao Zhu, Xingshuo Zhang, Maosen Zhang, Jiajie Jin, Liancheng Zhang, Xiaoshuai Song, Kangzhi Zhao, Wencong Zeng, Ruiming Tang, Han Li, Ji-Rong Wen, Zhicheng Dou:
GISA: A Benchmark for General Information-Seeking Assistant. CoRR abs/2602.08543 (2026) - [i363]Jiale Zhao, Guoxin Chen, Fanzhe Meng, Minghao Li, Jie Chen, Hui Xu, Yongshuai Sun, Xin Zhao, Ruihua Song, Yuan Zhang, Peng Wang, Cheng Chen, Jirong Wen, Kai Jia:
Immersion in the GitHub Universe: Scaling Coding Agents to Mastery. CoRR abs/2602.09892 (2026) - [i362]Qi Liu, Kun Ai, Jiaxin Mao, Yanzhao Zhang, Mingxin Li, Dingkun Long, Pengjun Xie, Fengbin Zhu, Ji-Rong Wen:
DiffuRank: Effective Document Reranking with Diffusion Language Models. CoRR abs/2602.12528 (2026) - [i361]Bingqian Li, Bowen Zheng, Xiaolei Wang, Long Zhang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen:
Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers. CoRR abs/2602.17410 (2026) - [i360]Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Shijian Wang, Guanting Dong, Jiajie Jin, Hao Wang, Yinuo Wang, Ji-Rong Wen, Yuan Lu, Zhicheng Dou:
OmniGAIA: Towards Native Omni-Modal AI Agents. CoRR abs/2602.22897 (2026) - [i359]Yuxuan Liu, Weikai Xu, Kun Huang, Changyu Chen, Jiankun Zhao, Pengzhi Gao, Wei Liu, Jian Luan, Shuo Shang, Bo Du, Ji-Rong Wen, Rui Yan:
CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning. CoRR abs/2602.24142 (2026) - [i358]Zebin You, Xiaolu Zhang, Jun Zhou, Chongxuan Li, Ji-Rong Wen:
LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model. CoRR abs/2603.01068 (2026) - [i357]Guoxin Chen, Fanzhe Meng, Jiale Zhao, Minghao Li, Daixuan Cheng, Huatong Song, Jie Chen, Yuzhi Lin, Hui Chen, Xin Zhao, Ruihua Song, Chang Liu, Cheng Chen, Kai Jia, Ji-Rong Wen:
BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? CoRR abs/2603.03194 (2026) - [i356]Jiejun Tan, Zhicheng Dou, Liancheng Zhang, Yuyang Hu, Yiruo Cheng, Ji-Rong Wen:
MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning. CoRR abs/2603.03379 (2026) - [i355]Yiruo Cheng, Kelong Mao, Tianhao Li, Jiejun Tan, Ji-Rong Wen, Zhicheng Dou:
ChatShopBuddy: Towards Reliable Conversational Shopping Agents via Reinforcement Learning. CoRR abs/2603.06065 (2026) - [i354]Kesha Ou, Chenghao Wu, Xiaolei Wang, Bowen Zheng, Wayne Xin Zhao, Weitao Li, Long Zhang, Sheng Chen, Ji-Rong Wen:
Deep Research for Recommender Systems. CoRR abs/2603.07605 (2026) - [i353]Ruiyang Ren, Yuhao Wang, Yunsen Liang, Lan Luo, Jing Liu, Haifeng Wang, Cong Feng, Yinan Zhang, Chunyan Miao, Ji-Rong Wen, Wayne Xin Zhao:
Emulating Clinician Cognition via Self-Evolving Deep Clinical Research. CoRR abs/2603.10677 (2026) - [i352]Shijie Ren, Xinyue Gu, Ziheng Peng, Haifan Zhang, Peisong Niu, Bo Wu, Xiting Wang, Liang Sun, Jirong Wen:
Target Concept Tuning Improves Extreme Weather Forecasting. CoRR abs/2603.19325 (2026) - [i351]Lei Wang, Yuanzi Li, Jinchao Wu, Heyang Gao, Xiaohe Bo, Xu Chen, Ji-Rong Wen:
LLM Agents as Social Scientists: A Human-AI Collaborative Platform for Social Science Automation. CoRR abs/2604.01520 (2026) - [i350]Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen:
Learning to Retrieve from Agent Trajectories. CoRR abs/2604.04949 (2026) - [i349]Zhipeng Chen, Tao Qian, Wayne Xin Zhao, Ji-Rong Wen:
Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration. CoRR abs/2604.11446 (2026) - [i348]Yifan Du, Zikang Liu, Jinbiao Peng, Jie Wu, Junyi Li, Jinyang Li, Wayne Xin Zhao, Ji-Rong Wen:
Towards Long-horizon Agentic Multimodal Search. CoRR abs/2604.12890 (2026) - [i347]Guoxin Chen, Jie Chen, Lei Chen, Jiale Zhao, Fanzhe Meng, Wayne Xin Zhao, Ruihua Song, Cheng Chen, Ji-Rong Wen, Kai Jia:
Toward Autonomous Long-Horizon Engineering for ML Research. CoRR abs/2604.13018 (2026) - [i346]Guanting Dong, Junting Lu, Junjie Huang, Wanjun Zhong, Longxiang Liu, Shijue Huang, Zhenyu Li, Yang Zhao, Xiaoshuai Song, Xiaoxi Li, Jiajie Jin, Yutao Zhu, Hanbin Wang, Fangyu Lei, Qinyu Luo, Mingyang Chen, Zehui Chen, Jiazhan Feng, Ji-Rong Wen, Zhicheng Dou:
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence. CoRR abs/2604.18292 (2026) - [i345]Mingze Li, Yu Rong, Songyou Li, Lihong Wang, Jiacheng Cen, Liming Wu, Anyi Li, Zongzhao Li, Qiuliang Liu, Rui Jiao, Tian Bian, Pengju Wang, Hao Sun, Jianfeng Zhang, Ji-Rong Wen, Deli Zhao, Shi Jin, Tingyang Xu, Wenbing Huang:
Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductors Discovery. CoRR abs/2604.23758 (2026) - [i344]Yingqian Min, Kun Zhou, Yifan Li, Yuhuan Wu, Han Peng, Yifan Du, Wayne Xin Zhao, Min Yang, Ji-Rong Wen:
Improving Vision-language Models with Perception-centric Process Reward Models. CoRR abs/2604.24583 (2026) - [i343]Yanbiao Ma, Fei Luo, Linfeng Zhang, Chuangxin Zhao, Mingxuan Wang, Yinan Wu, Zhe Qian, Yang Lu, Long Chen, Zhao Cao, Xiaoshuai Hao, Ji-Rong Wen, Jungong Han:
Reasoning emerges from constrained inference manifolds in large language models. CoRR abs/2605.08142 (2026) - [i342]Ying Ba, Tianyu Zhang, Mohan Zhou, Yalong Bai, Wenyi Mo, Guiwei Zhang, Bing Su, Ji-Rong Wen:
Pareto-Guided Optimal Transport for Multi-Reward Alignment. CoRR abs/2605.13155 (2026) - [i341]Xu Chen, Yuanzi Li, Lei Wang, Nan Lu, Yang Wang, Anding Wang, Lei Shi, Xiaoxing Fu, Ji-Rong Wen:
Benchmarking LLMs for Community Governance Simulation with Life-history Narratives. CoRR abs/2605.23783 (2026) - [i340]Zhengyang Tang, Yuxuan Liu, Xin Lai, Junyi Li, Pengyuan Lyu, Jason, Yiduo Guo, Zhengyao Fang, Yang Ding, Yi Zhang, Weinong Wang, Huawen Shen, Xingran Zhou, Liang Wu, Fei Tang, Sunqi Fan, Shangpin Peng, Zheng Ruan, Anran Zhang, Benyou Wang, Rui Yan, Ji-Rong Wen, Chengquan Zhang, Han Hu:
PhoneWorld: Scaling Phone-Use Agent Environments. CoRR abs/2605.29486 (2026) - [i339]Jiejun Tan, Zhicheng Dou, Xinyu Yang, Yuyang Hu, Yiruo Cheng, Xiaoxi Li, Ji-Rong Wen:
From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors. CoRR abs/2605.31042 (2026) - [i338]Kesha Ou, Zhen Tian, Wayne Xin Zhao, Long Zhang, Sheng Chen, Ji-Rong Wen:
Dual-Stream MLP is All You Need for CTR Prediction. CoRR abs/2606.04944 (2026) - [i337]Jiale Zhao, Guoxin Chen, Fanzhe Meng, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen, Kai Jia:
DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch. CoRR abs/2606.10728 (2026) - [i336]Jia Deng, Yimeng Chen, Xiaoqing Xiang, Ziyang Zeng, Shuo Tang, Wayne Xin Zhao, Feng Chang, Chuan Hao, Yuan Wei, Ran Tao, Bryan Dai, Ji-Rong Wen:
FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents. CoRR abs/2606.12087 (2026) - [i335]Jia Deng, Junyi Li, Wayne Xin Zhao, Jinpeng Wang, Hongyu Lu, Ji-Rong Wen:
Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models. CoRR abs/2606.12273 (2026) - [i334]Mingyang Li, Yurou Liu, Jieping Ye, Bing Su, Ji-Rong Wen, Zheng Wang:
Speaking the Language of Science: Toward a General-Purpose Generative Foundation Model for the Natural Sciences. CoRR abs/2606.16905 (2026) - [i333]Zhengyang Tang, Xin Lai, Pengyuan Lyu, Xinyuan Wang, Tianyi Bai, Chenxin Li, Yiduo Guo, Huawen Shen, Yuxuan Liu, Junyi Li, Zhengyao Fang, Yang Ding, Yi Zhang, Weinong Wang, Xingran Zhou, Liang Wu, Fei Tang, Sunqi Fan, Shangpin Peng, Zheng Ruan, Anran Zhang, Benyou Wang, Ji-Rong Wen, Rui Yan, Chengquan Zhang, Han Hu:
PhoneBuddy: Training Open Models for Agentic Phone Use. CoRR abs/2606.23049 (2026) - [i332]Shen Nie, Qiyang Min, Shaoxuan Xu, Zihao Huang, Yuxuan Song, Yong Shan, Yankai Lin, Wayne Xin Zhao, Chongxuan Li, Ji-Rong Wen:
Improved Large Language Diffusion Models. CoRR abs/2606.25331 (2026) - [i331]Zhongxiang Sun, Haolang Lu, Qiang Ma, Qi Li, Qipeng Wang, Liang Pang, Chenyu Liu, Qiankun Li, Hao Sun, Kun Wang, Yi Zeng, Jun Xu, Guoqi Li, Ji-Rong Wen:
NeuroCogMap Reveals Cognitive Organization of Large Language Models. CoRR abs/2607.00397 (2026) - [i330]Yujie Zheng, Zikang Liu, Xin Zhao, Ji-Rong Wen:
A Task-State Representation for Long-Horizon Mobile GUI Agents. CoRR abs/2607.00502 (2026) - [i329]Xiaoshuai Song, Liancheng Zhang, Kangzhi Zhao, Yutao Zhu, Zhongyuan Wang, Guanting Dong, Jinghan Yang, Han Li, Kun Gai, Ji-Rong Wen, Zhicheng Dou:
WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search. CoRR abs/2607.08662 (2026) - [i328]Wenke Xia, Pei Ren, Wenbo Yu, Yizhuo Zhang, Jifan Li, Yixue Zhang, Yinuo Zhao, Qingyang Gao, Jianlong Fu, Jian Tang, Ji-Rong Wen, Zhengping Che, Di Hu:
Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning. CoRR abs/2607.09866 (2026) - [i327]Yuyao Zhang, Junjie Gao, Zhengxian Wu, Jiaming Fan, Jin Zhang, Shihan Ma, Yao Yao, Weiran Qi, Chuyan Jin, Guiyu Ma, Xingzhong Xu, Kai Yang, Ji-Rong Wen, Zhicheng Dou:
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration. CoRR abs/2607.15257 (2026) - [i326]Chenghao Wu, Kesha Ou, Xiaolei Wang, Bowen Zheng, Bingqian Li, Enze Liu, Wayne Xin Zhao, Weitao Li, Long Zhang, Sheng Chen, Ji-Rong Wen:
ClawRec: A Claw-Native Recommender System. CoRR abs/2607.23779 (2026) - [i325]Rui Zou, Yutao Zhu, Mengqi Wei, Ji-Rong Wen:
AMTFV: Agentic Mathematical Tool-Flow Verification for LLM Self-Correction. CoRR abs/2607.29549 (2026) - [i324]Fengqi Zhu, Shaoxuan Xu, Jingyang Ou, Zebin You, Yipeng Xing, Huabin Liu, Xiaolu Zhang, Jun Zhou, Zhenzhong Lan, Yankai Lin, Wayne Xin Zhao, Jianguo Li, Chongxuan Li, Ji-Rong Wen:
LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models. CoRR abs/2608.03457 (2026) - [i323]Fanzhe Meng, Guoxin Chen, Jiale Zhao, Shuang Sun, Zhiyu Lin, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen, Kai Jia:
CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks. CoRR abs/2608.06352 (2026) - [i322]Huatong Song, Fei Bai, Ming Yang, Renyuan Li, Jia Deng, Jujie He, Zhange Zhang, Daixuan Cheng, Yan Xing, Qi Yun, Xuxing Chen, Danyang Li, Feng Chang, Chuan Hao, Ran Tao, Jian Yang, Bryan Dai, Wayne Xin Zhao, Mingjie Tang, Ji-Rong Wen:
ClawGym II: Exploring Black-Box RL on Agent Harness. CoRR abs/2608.16798 (2026) - [i321]Pei Wang, Xu Chen, Ji-Rong Wen:
Rethinking the Evaluation and Optimization of LLM-Based Social Simulation. CoRR abs/2608.19689 (2026) - 2025
- [j139]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. ACM Comput. Surv. 57(11): 278:1-278:43 (2025) - [j138]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool learning with large language models: a survey. Frontiers Comput. Sci. 19(8): 198343 (2025) - [j137]Weicong Qin, Weijie Yu, Kepu Zhang, Haiyuan Zhao, Jun Xu, Ji-Rong Wen:
Uncertainty-aware evidential learning for legal case retrieval with noisy correspondence. Inf. Sci. 702: 121915 (2025) - [j136]Yake Wei, Di Hu, Henghui Du, Ji-Rong Wen:
On-the-Fly Modulation for Balanced Multimodal Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 469-485 (2025) - [j135]Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen:
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis. ACM Trans. Knowl. Discov. Data 19(5): 1-51 (2025) - [j134]Zhaoheng Huang, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
CAGS: Context-Aware Document Ranking With Contrastive Graph Sampling. IEEE Trans. Knowl. Data Eng. 37(1): 89-101 (2025) - [j133]Shuting Wang, Zhicheng Dou, Kexiang Wang, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Ji-Rong Wen:
PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs. IEEE Trans. Knowl. Data Eng. 37(5): 2861-2873 (2025) - [j132]Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen:
LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops. ACM Trans. Inf. Syst. 43(1): 11:1-11:29 (2025) - [j131]Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen:
User Behavior Simulation with Large Language Model-based Agents. ACM Trans. Inf. Syst. 43(2): 55:1-55:37 (2025) - [j130]Junjie Zhang, Wenqi Sun, Yupeng Hou, Wayne Xin Zhao, Ji-Rong Wen:
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 43(3): 74:1-74:31 (2025) - [j129]Jiongnan Liu, Zhicheng Dou, Jian-Yun Nie, Zhenlin Chen, Guoyu Tang, Sulong Xu, Ji-Rong Wen:
Enhancing Sequential Personalized Product Search with External Out-of-sequence Knowledge. ACM Trans. Inf. Syst. 43(4): 84:1-84:25 (2025) - [j128]Junjie Zhang, Ruobing Xie, Yupeng Hou, Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. ACM Trans. Inf. Syst. 43(5): 114:1-114:37 (2025) - [j127]Zeyu Zhang, Quanyu Dai, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model-based Agents. ACM Trans. Inf. Syst. 43(6): 155:1-155:47 (2025) - [j126]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation. World Wide Web (WWW) 28(6): 71 (2025) - [c429]Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen:
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. AAAI 2025: 23796-23804 - [c428]Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen:
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. AAAI 2025: 25264-25272 - [c427]Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen:
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. AAAI 2025: 26166-26174 - [c426]Guanting Dong, Jiajie Jin, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation. ACL (1) 2025: 3551-3578 - [c425]Guanting Dong, Chenghao Zhang, Mengjie Deng, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
Progressive Multimodal Reasoning via Active Retrieval. ACL (1) 2025: 3579-3602 - [c424]Yiwen Hu, Huatong Song, Jie Chen, Jia Deng, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Zican Dong, Yang Lu, Xu Miao, Xin Zhao, Ji-Rong Wen:
YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model. ACL (1) 2025: 5374-5400 - [c423]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. ACL (1) 2025: 5779-5795 - [c422]Xiaoxue Cheng, Junyi Li, Xin Zhao, Ji-Rong Wen:
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking. ACL (Findings) 2025: 7979-7990 - [c421]Jinhao Jiang, Kun Zhou, Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen:
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. ACL (1) 2025: 9505-9523 - [c420]Yuyao Zhang, Zhicheng Dou, Xiaoxi Li, Jiajie Jin, Yongkang Wu, Zhonghua Li, Ye Qi, Ji-Rong Wen:
Neuro-Symbolic Query Compiler. ACL (Findings) 2025: 12138-12155 - [c419]Yiruo Cheng, Hongjin Qian, Fengran Mo, Yongkang Wu, Zhonghua Li, Qi Ye, Ji-Rong Wen, Zhicheng Dou:
Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation. CIKM 2025: 436-447 - [c418]Zhirui Deng, Jingfen Qiao, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke:
DIVAgent: A Diversified Search Agent that Mimics the Human Search Process. CIKM 2025: 564-574 - [c417]Yuxin Li, Chen Xu, Jun Xu, Ji-Rong Wen:
BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process. CIKM 2025: 1737-1747 - [c416]Lang Mei, Sijie Liu, Ziyuan Zhao, Rolan Yan, Jiaxin Mao, Jirong Wen:
Dense Retrieval for Aggregated Search. CIKM 2025: 2095-2104 - [c415]Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen:
Addressing Personalized Bias for Unbiased Learning to Rank. CIKM 2025: 2222-2231 - [c414]Bowen Zheng, Xiaolei Wang, Enze Liu, Xi Wang, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation. CIKM 2025: 4423-4433 - [c413]Yushuo Chen, Tianyi Tang, Erge Xiang, Linjiang Li, Wayne Xin Zhao, Jing Wang, Yunpeng Chai, Ji-Rong Wen:
Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models. CCL 2025: 244-264 - [c412]Wenkai Yang, Yankai Lin, Jie Zhou, Ji-Rong Wen:
Distilling Rule-based Knowledge into Large Language Models. COLING 2025: 913-932 - [c411]Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. COLING 2025: 3697-3715 - [c410]Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen:
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. COLING 2025: 8197-8214 - [c409]Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen:
ICLEval: Evaluating In-Context Learning Ability of Large Language Models. COLING 2025: 10398-10422 - [c408]Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao:
UFIN: Universal Feature Interaction Network for Multi-domain Click-Through Rate Prediction. DASFAA (2) 2025: 3-18 - [c407]Yutao Zhu, Jiajie Jin, Hongjin Qian, Zheng Liu, Zhicheng Dou, Ji-Rong Wen:
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization. EMNLP 2025: 4837-4856 - [c406]Shuting Wang, Jiejun Tan, Zhicheng Dou, Ji-Rong Wen:
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain. EMNLP 2025: 5726-5751 - [c405]Zhaoheng Huang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
Enhancing LLM Text Detection with Retrieved Contexts and Logits Distribution Consistency. EMNLP 2025: 9922-9934 - [c404]Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. EMNLP (Findings) 2025: 10341-10366 - [c403]Wenyang Luo, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
MMATH: A Multilingual Benchmark for Mathematical Reasoning. EMNLP (Findings) 2025: 11187-11202 - [c402]Jie Chen, Jinhao Jiang, Yingqian Min, Zican Dong, Shijie Wang, Wayne Xin Zhao, Ji-Rong Wen:
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework. EMNLP 2025: 12328-12338 - [c401]Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu, Jiahao Zhao, Yingqian Min, Xin Zhao, Lei Fang, Ji-Rong Wen:
Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning. EMNLP (Findings) 2025: 13572-13586 - [c400]Shuang Sun, Huatong Song, Yuhao Wang, Ruiyang Ren, Jinhao Jiang, Junjie Zhang, Fei Bai, Jia Deng, Xin Zhao, Zheng Liu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen:
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis. EMNLP (Findings) 2025: 13705-13720 - [c399]Zhipeng Chen, Kun Zhou, Liang Song, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models. EMNLP 2025: 17563-17580 - [c398]Wenqi Sun, Ruobing Xie, Junjie Zhang, Zitian Guo, Wayne Xin Zhao, Zhanhui Kang, Ji-Rong Wen:
A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation. ICASSP 2025: 1-5 - [c397]Ying Ba, Tianyu Zhang, Yalong Bai, Wenyi Mo, Tao Liang, Bing Su, Ji-Rong Wen:
Enhancing Reward Models for High-Quality Image Generation: Beyond Text-Image Alignment. ICCV 2025: 19022-19031 - [c396]Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Exploring the Design Space of Visual Context Representation in Video MLLMs. ICLR 2025 - [c395]Xiaolei Wang, Xinyu Tang, Junyi Li, Xin Zhao, Ji-Rong Wen:
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. ICLR 2025 - [c394]Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen:
Regulatory DNA Sequence Design with Reinforcement Learning. ICLR 2025 - [c393]Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Xin Zhao, Ji-Rong Wen:
Neuron based Personality Trait Induction in Large Language Models. ICLR 2025 - [c392]Jinhao Jiang, Junyi Li, Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen:
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. ICLR 2025 - [c391]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. ICLR 2025 - [c390]Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen:
Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. ICLR 2025 - [c389]Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. ICLR 2025 - [c388]Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen:
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. ICLR 2025 - [c387]Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun:
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation. ICML 2025 - [c386]Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu:
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. KDD (1) 2025: 1056-1067 - [c385]Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing. KDD (2) 2025: 1470-1480 - [c384]Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen:
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation. KDD (2) 2025: 1788-1798 - [c383]Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation. KDD (1) 2025: 2101-2112 - [c382]Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
Less is More: High-value Data Selection for Visual Instruction Tuning. ACM Multimedia 2025: 3712-3721 - [c381]Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Improving Retrospective Language Agents via Joint Policy Gradient Optimization. NAACL (Long Papers) 2025: 112-141 - [c380]Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen:
GenSim: A General Social Simulation Platform with Large Language Model based Agents. NAACL (System Demonstrations) 2025: 143-150 - [c379]Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou:
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation. NAACL (Findings) 2025: 1308-1330 - [c378]Xinyu Tang, Xiaolei Wang, Xin Zhao, Ji-Rong Wen:
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning. NAACL (Long Papers) 2025: 1918-1934 - [c377]Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen:
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. NAACL (Findings) 2025: 2930-2949 - [c376]Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen:
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. NAACL (Long Papers) 2025: 6372-6391 - [c375]Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li:
Masked Diffusion Models as Energy Minimization. NeurIPS 2025 - [c374]Luxi Chen, Zihan Zhou, Min Zhao, Yikai Wang, Ge Zhang, Wenhao Huang, Hao Sun, Ji-Rong Wen, Chongxuan Li:
FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration. NeurIPS 2025 - [c373]Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yongkang Wu, Ji-Rong Wen, Yutao Zhu, Zhicheng Dou:
WebThinker: Empowering Large Reasoning Models with Deep Research Capability. NeurIPS 2025 - [c372]Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li:
Large Language Diffusion Models. NeurIPS 2025 - [c371]Zhen Tian, Xin Zhao, Ji-Rong Wen:
Irrational Complex Rotations Empower Low-bit Optimizers. NeurIPS 2025 - [c370]Shiyi Xu, Yiwen Hu, Yingqian Min, Zhipeng Chen, Xin Zhao, Ji-Rong Wen:
ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests. NeurIPS 2025 - [c369]Huaying Yuan, Jian Ni, Zheng Liu, Yueze Wang, Junjie Zhou, Zhengyang Liang, Bo Zhao, Zhao Cao, Ji-Rong Wen, Zhicheng Dou:
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval. NeurIPS 2025 - [c368]Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen:
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants. NeurIPS 2025 - [c367]Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Han Li, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation. RecSys 2025: 93-103 - [c366]Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen:
Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation. RecSys 2025: 461-471 - [c365]Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. SIGIR 2025: 75-84 - [c364]Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen:
LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. SIGIR 2025: 201-211 - [c363]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. SIGIR 2025: 1676-1686 - [c362]Zechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. SIGIR 2025: 3265-3275 - [c361]Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke:
FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. SIGIR 2025: 3540-3550 - [c360]Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua:
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. SIGIR 2025: 3922-3931 - [c359]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen:
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing. WACV 2025: 4420-4429 - [c358]Jiajie Jin, Yutao Zhu, Zhicheng Dou, Guanting Dong, Xinyu Yang, Chenghao Zhang, Tong Zhao, Zhao Yang, Ji-Rong Wen:
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. WWW (Companion Volume) 2025: 737-740 - [c357]Jiejun Tan, Zhicheng Dou, Wen Wang, Mang Wang, Weipeng Chen, Ji-Rong Wen:
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems. WWW 2025: 1733-1746 - [c356]Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua:
Self-Calibrated Listwise Reranking with Large Language Models. WWW 2025: 3692-3701 - [c355]Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Ji-Rong Wen, Zhicheng Dou:
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. WWW 2025: 4206-4225 - [d1]Kai Ruan, Yilong Xu, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu:
Discovering physical laws with parallel symbolic enumeration. Zenodo, 2025
- [i320]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking. CoRR abs/2501.01306 (2025) - [i319]Yifan Du, Zikang Liu, Yifan Li, Wayne Xin Zhao, Yuqi Huo, Bingning Wang, Weipeng Chen, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen:
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM. CoRR abs/2501.01904 (2025) - [i318]Zhao Yang, Bing Su, Jiahao Chen, Ji-Rong Wen:
Interpretable Enzyme Function Prediction via Residue-Level Detection. CoRR abs/2501.05644 (2025) - [i317]Zhen Tian, Wayne Xin Zhao, Ji-Rong Wen:
Irrational Complex Rotations Empower Low-bit Optimizers. CoRR abs/2501.12896 (2025) - [i316]Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun:
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation. CoRR abs/2501.15987 (2025) - [i315]Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen:
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry. CoRR abs/2502.07307 (2025) - [i314]Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li:
Large Language Diffusion Models. CoRR abs/2502.09992 (2025) - [i313]Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. CoRR abs/2502.11427 (2025) - [i312]Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke:
FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms. CoRR abs/2502.11883 (2025) - [i311]Huaying Yuan, Jian Ni, Yueze Wang, Junjie Zhou, Zhengyang Liang, Zheng Liu, Zhao Cao, Zhicheng Dou, Ji-Rong Wen:
MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos. CoRR abs/2502.12558 (2025) - [i310]Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Improving Retrospective Language Agents via Joint Policy Gradient Optimization. CoRR abs/2503.01490 (2025) - [i309]Zhipeng Chen, Yingqian Min, Beichen Zhang, Jie Chen, Jinhao Jiang, Daixuan Cheng, Wayne Xin Zhao, Zheng Liu, Xu Miao, Yang Lu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen:
An Empirical Study on Eliciting and Improving R1-like Reasoning Models. CoRR abs/2503.04548 (2025) - [i308]Huatong Song, Jinhao Jiang, Yingqian Min, Jie Chen, Zhipeng Chen, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen:
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning. CoRR abs/2503.05592 (2025) - [i307]Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen:
Regulatory DNA sequence Design with Reinforcement Learning. CoRR abs/2503.07981 (2025) - [i306]Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. CoRR abs/2503.08684 (2025) - [i305]Huaying Yuan, Zheng Liu, Minhao Qin, Hongjin Qian, Y. Shu, Zhicheng Dou, Ji-Rong Wen:
Memory-enhanced Retrieval Augmentation for Long Video Understanding. CoRR abs/2503.09149 (2025) - [i304]Liming Wu, Wen-bing Huang, Rui Jiao, Jianxing Huang, Liwei Liu, Yipeng Zhou, Hao Sun, Yang Liu, Fuchun Sun, Yuxiang Ren, Jirong Wen:
Siamese Foundation Models for Crystal Structure Prediction. CoRR abs/2503.10471 (2025) - [i303]Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen:
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation. CoRR abs/2503.12183 (2025) - [i302]Luxi Chen, Zihan Zhou, Min Zhao, Yikai Wang, Ge Zhang, Wenhao Huang, Hao Sun, Ji-Rong Wen, Chongxuan Li:
FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis. CoRR abs/2503.13265 (2025) - [i301]Haoxiang Sun, Yingqian Min, Zhipeng Chen, Wayne Xin Zhao, Zheng Liu, Zhongyuan Wang, Lei Fang, Ji-Rong Wen:
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models. CoRR abs/2503.21380 (2025) - [i300]Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen:
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation. CoRR abs/2504.01489 (2025) - [i299]Bowen Zheng, Enze Liu, Zhongfu Chen, Zhongrui Ma, Yue Wang, Wayne Xin Zhao, Ji-Rong Wen:
Pre-training Generative Recommender with Multi-Identifier Item Tokenization. CoRR abs/2504.04400 (2025) - [i298]Bowen Zheng, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Universal Item Tokenization for Transferable Generative Recommendation. CoRR abs/2504.04405 (2025) - [i297]Qi Liu, Jiaxin Mao, Ji-Rong Wen:
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective. CoRR abs/2504.07898 (2025) - [i296]Junjie Zhang, Beichen Zhang, Wenqi Sun, Hongyu Lu, Wayne Xin Zhao, Yu Chen, Ji-Rong Wen:
Slow Thinking for Sequential Recommendation. CoRR abs/2504.09627 (2025) - [i295]Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. CoRR abs/2504.20458 (2025) - [i294]Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yutao Zhu, Yongkang Wu, Ji-Rong Wen, Zhicheng Dou:
WebThinker: Empowering Large Reasoning Models with Deep Research Capability. CoRR abs/2504.21776 (2025) - [i293]Wenkai Yang, Jingwen Chen, Yankai Lin, Ji-Rong Wen:
DeepCritic: Deliberate Critique with Large Language Models. CoRR abs/2505.00662 (2025) - [i292]Kai Ruan, Mowen Huang, Ji-Rong Wen, Hao Sun:
Benchmarking LLMs' Swarm intelligence. CoRR abs/2505.04364 (2025) - [i291]Lei Wang, Heyang Gao, Xiaohe Bo, Xu Chen, Ji-Rong Wen:
YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models. CoRR abs/2505.07581 (2025) - [i290]Yuyao Zhang, Zhicheng Dou, Xiaoxi Li, Jiajie Jin, Yongkang Wu, Zhonghua Li, Qi Ye, Ji-Rong Wen:
Neuro-Symbolic Query Compiler. CoRR abs/2505.11932 (2025) - [i289]Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua:
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. CoRR abs/2505.14680 (2025) - [i288]Yutao Zhu, Jiajie Jin, Hongjin Qian, Zheng Liu, Zhicheng Dou, Ji-Rong Wen:
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization. CoRR abs/2505.15444 (2025) - [i287]Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen:
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. CoRR abs/2505.16410 (2025) - [i286]Bowen Zheng, Xiaolei Wang, Enze Liu, Xi Wang, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation. CoRR abs/2505.16810 (2025) - [i285]Shuang Sun, Huatong Song, Yuhao Wang, Ruiyang Ren, Jinhao Jiang, Junjie Zhang, Fei Bai, Jia Deng, Wayne Xin Zhao, Zheng Liu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen:
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis. CoRR abs/2505.16834 (2025) - [i284]Enze Liu, Bowen Zheng, Xiaolei Wang, Wayne Xin Zhao, Jinpeng Wang, Sheng Chen, Ji-Rong Wen:
LARES: Latent Reasoning for Sequential Recommendation. CoRR abs/2505.16865 (2025) - [i283]Zebin You, Shen Nie, Xiaolu Zhang, Jun Hu, Jun Zhou, Zhiwu Lu, Ji-Rong Wen, Chongxuan Li:
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning. CoRR abs/2505.16933 (2025) - [i282]Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu, Jiahao Zhao, Yingqian Min, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen:
R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning. CoRR abs/2505.17005 (2025) - [i281]Wenyang Luo, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
MMATH: A Multilingual Benchmark for Mathematical Reasoning. CoRR abs/2505.19126 (2025) - [i280]Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Hu, Jun Zhou, Jianfei Chen, Yankai Lin, Ji-Rong Wen, Chongxuan Li:
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. CoRR abs/2505.19223 (2025) - [i279]Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing. CoRR abs/2505.20245 (2025) - [i278]Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Wayne Xin Zhao, Lei Fang, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen:
Towards Effective Code-Integrated Reasoning. CoRR abs/2505.24480 (2025) - [i277]Shiyi Xu, Yiwen Hu, Yingqian Min, Zhipeng Chen, Wayne Xin Zhao, Ji-Rong Wen:
ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests. CoRR abs/2506.04894 (2025) - [i276]Jixiang Hong, Yiran Zhang, Guanzhong Wang, Yi Liu, Ji-Rong Wen, Rui Yan:
Reinforcing Multimodal Understanding and Generation with Dual Self-rewards. CoRR abs/2506.07963 (2025) - [i275]Huaying Yuan, Zheng Liu, Junjie Zhou, Hongjin Qian, Ji-Rong Wen, Zhicheng Dou:
VideoDeepResearch: Long Video Understanding With Agentic Tool Using. CoRR abs/2506.10821 (2025) - [i274]Ying Ba, Tianyu Zhang, Yalong Bai, Wenyi Mo, Tao Liang, Bing Su, Ji-Rong Wen:
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment. CoRR abs/2507.19002 (2025) - [i273]Guanting Dong, Hangyu Mao, Kai Ma, Licheng Bao, Yifei Chen, Zhongyuan Wang, Zhongxia Chen, Jiazhen Du, Huiyang Wang, Fuzheng Zhang, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
Agentic Reinforced Policy Optimization. CoRR abs/2507.19849 (2025) - [i272]Jia Deng, Jie Chen, Zhipeng Chen, Wayne Xin Zhao, Ji-Rong Wen:
Decomposing the Entropy-Performance Exchange: The Missing Keys to Unlocking Effective Reinforcement Learning. CoRR abs/2508.02260 (2025) - [i271]Rui Zou, Mengqi Wei, Yutao Zhu, Jirong Wen, Xin Zhao, Jing Chen:
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis. CoRR abs/2508.03396 (2025) - [i270]Yifan Li, Kun Zhou, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen:
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective. CoRR abs/2508.04567 (2025) - [i269]Jia Deng, Jie Chen, Zhipeng Chen, Daixuan Cheng, Fei Bai, Beichen Zhang, Yinqian Min, Yanzipeng Gao, Wayne Xin Zhao, Ji-Rong Wen:
From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR. CoRR abs/2508.07534 (2025) - [i268]Jiejun Tan, Zhicheng Dou, Yan Yu, Jiehan Cheng, Qiang Ju, Jian Xie, Ji-Rong Wen:
HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches. CoRR abs/2508.08088 (2025) - [i267]Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen:
Addressing Personalized Bias for Unbiased Learning to Rank. CoRR abs/2508.20798 (2025) - [i266]Jie Chen, Jinhao Jiang, Yingqian Min, Zican Dong, Shijie Wang, Wayne Xin Zhao, Ji-Rong Wen:
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework. CoRR abs/2509.05007 (2025) - [i265]Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li:
Masked Diffusion Models as Energy Minimization. CoRR abs/2509.13866 (2025) - [i264]Fengqi Zhu, Zebin You, Yipeng Xing, Zenan Huang, Lin Liu, Yihong Zhuang, Guoshan Lu, Kangyu Wang, Xudong Wang, Lanning Wei, Hongrui Guo, Jiaqi Hu, Wentao Ye, Tieyuan Chen, Chenchen Li, Chengfu Tang, Haibo Feng, Jun Hu, Jun Zhou, Xiaolu Zhang, Zhenzhong Lan, Junbo Zhao, Da Zheng, Chongxuan Li, Jianguo Li, Ji-Rong Wen:
LLaDA-MoE: A Sparse MoE Diffusion Language Model. CoRR abs/2509.24389 (2025) - [i263]Yihong Liu, Junyi Li, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen:
Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design. CoRR abs/2509.24509 (2025) - [i262]Zikang Liu, Junyi Li, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
PAL-UI: Planning with Active Look-back for Vision-Based GUI Agents. CoRR abs/2510.00413 (2025) - [i261]Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
Agentic Entropy-Balanced Policy Optimization. CoRR abs/2510.14545 (2025) - [i260]Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou:
DeepAgent: A General Reasoning Agent with Scalable Toolsets. CoRR abs/2510.21618 (2025) - [i259]Jiarui Ji, Runlin Lei, Xuchen Pan, Zhewei Wei, Hao Sun, Yankai Lin, Xu Chen, Yongzheng Yang, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Leveraging LLM-based agents for social science research: insights from citation network simulations. CoRR abs/2511.03758 (2025) - [i258]Huaguan Chen, Wei Han, Haofei Sun, Ning Lin, Xingtao Song, Yunfan Yang, Jie Tian, Yang Liu, Ji-Rong Wen, Xiaoye Zhang, Xueshun Shen, Hao Sun:
Nowcast3D: Reliable precipitation nowcasting via gray-box learning. CoRR abs/2511.04659 (2025) - [i257]Yuliang Zhan, Xinyu Tang, Han Wan, Jian Li, Ji-Rong Wen, Hao Sun:
L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention. CoRR abs/2511.17910 (2025) - [i256]Yuyang Hu, Shichun Liu, Yanwei Yue, Guibin Zhang, Boyang Liu, Fangyi Zhu, Jiahang Lin, Honglin Guo, Shihan Dou, Zhiheng Xi, Senjie Jin, Jiejun Tan, Yanbin Yin, Jiongnan Liu, Zeyu Zhang, Zhongxiang Sun, Yutao Zhu, Hao Sun, Boci Peng, Zhenrong Cheng, Xuanbo Fan, Jiaxin Guo, Xinlei Yu, Zhenhong Zhou, Zewen Hu, Jiahao Huo, Junhao Wang, Yuwei Niu, Yu Wang, Zhenfei Yin, Xiaobin Hu, Yue Liao, Qiankun Li, Kun Wang, Wangchunshu Zhou, Yixin Liu, Dawei Cheng, Qi Zhang, Tao Gui, Shirui Pan, Yan Zhang, Philip Torr, Zhicheng Dou, Ji-Rong Wen, Xuanjing Huang, Yu-Gang Jiang, Shuicheng Yan:
Memory in the Age of AI Agents. CoRR abs/2512.13564 (2025) - [i255]Tiwei Bie, Maosong Cao, Kun Chen, Lun Du, Mingliang Gong, Zhuochen Gong, Yanmei Gu, Jiaqi Hu, Zenan Huang, Zhenzhong Lan, Chengxi Li, Chongxuan Li, Jianguo Li, Zehuan Li, Huabin Liu, Lin Liu, Guoshan Lu, Xiaocheng Lu, Yuxin Ma, Jianfeng Tan, Lanning Wei, Ji-Rong Wen, Yipeng Xing, Xiaolu Zhang, Junbo Zhao, Da Zheng, Jun Zhou, Junlin Zhou, Zhanchao Zhou, Liwang Zhu, Yihong Zhuang:
LLaDA2.0: Scaling Up Diffusion Language Models to 100B. CoRR abs/2512.15745 (2025) - 2024
- [j125]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
Pre-Trained Language Models for Text Generation: A Survey. ACM Comput. Surv. 56(9): 230:1-230:39 (2024) - [j124]Zhe Yuan, Zhewei Wei, Fangrui Lv, Ji-Rong Wen:
Index-free triangle-based graph local clustering. Frontiers Comput. Sci. 18(3): 183404 (2024) - [j123]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen:
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18(6): 186345 (2024) - [j122]Jiongnan Liu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Integrated Personalized and Diversified Search Based on Search Logs. IEEE Trans. Knowl. Data Eng. 36(2): 694-707 (2024) - [j121]Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Graph Optimal Transport. IEEE Trans. Knowl. Data Eng. 36(6): 2461-2475 (2024) - [j120]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. IEEE Trans. Knowl. Data Eng. 36(9): 4582-4602 (2024) - [j119]Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou, Ji-Rong Wen:
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. IEEE Trans. Knowl. Data Eng. 36(9): 4996-5006 (2024) - [j118]Haonan Chen, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Query-Oriented Data Augmentation for Session Search. IEEE Trans. Knowl. Data Eng. 36(11): 6877-6888 (2024) - [j117]Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8801-8813 (2024) - [j116]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. 42(2): 38:1-38:29 (2024) - [j115]Lang Mei, Jiaxin Mao, Juan Hu, Naiqiang Tan, Hua Chai, Ji-Rong Wen:
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. ACM Trans. Inf. Syst. 42(3): 74:1-74:27 (2024) - [j114]Shuting Wang, Zhicheng Dou, Jiongnan Liu, Qiannan Zhu, Ji-Rong Wen:
Personalized and Diversified: Ranking Search Results in an Integrated Way. ACM Trans. Inf. Syst. 42(3): 81:1-81:25 (2024) - [j113]Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen:
Dense Text Retrieval Based on Pretrained Language Models: A Survey. ACM Trans. Inf. Syst. 42(4): 89:1-89:60 (2024) - [j112]Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search. ACM Trans. Inf. Syst. 42(4): 96:1-96:30 (2024) - [j111]Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. ACM Trans. Inf. Syst. 42(5): 118:1-118:28 (2024) - [j110]Zhirui Deng, Zhicheng Dou, Zhan Su, Ji-Rong Wen:
Multi-grained Document Modeling for Search Result Diversification. ACM Trans. Inf. Syst. 42(5): 126:1-126:22 (2024) - [j109]Zhan Su, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Passage-aware Search Result Diversification. ACM Trans. Inf. Syst. 42(5): 136:1-136:29 (2024) - [j108]Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen:
ROGER: Ranking-Oriented Generative Retrieval. ACM Trans. Inf. Syst. 42(6): 155:1-155:25 (2024) - [c354]Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao, Rui Yan:
Your Career Path Matters in Person-Job Fit. AAAI 2024: 8427-8435 - [c353]Tianyi Tang, Yiwen Hu, Bingqian Li, Wenyang Luo, Zijing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Ranchi Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Xin Zhao, Ji-Rong Wen:
LLMBox: A Comprehensive Library for Large Language Models. ACL (3) 2024: 388-399 - [c352]Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen:
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. ACL (1) 2024: 2430-2440 - [c351]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. ACL (1) 2024: 2782-2809 - [c350]Zhiwei Li, Ran Song, Caihong Sun, Wei Xu, Zhengtao Yu, Ji-Rong Wen:
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model. ACL (Findings) 2024: 3891-3902 - [c349]Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen:
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. ACL (1) 2024: 4420-4436 - [c348]Zhipeng Chen, Kun Zhou, Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen:
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. ACL (Findings) 2024: 5694-5711 - [c347]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. ACL (1) 2024: 5701-5715 - [c346]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. ACL (1) 2024: 5872-5900 - [c345]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) 2024: 7052-7074 - [c344]Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan:
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy. ACL (1) 2024: 9828-9862 - [c343]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. ACL (1) 2024: 10879-10899 - [c342]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Towards Completeness-Oriented Tool Retrieval for Large Language Models. CIKM 2024: 1930-1940 - [c341]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. LREC/COLING 2024: 2086-2099 - [c340]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. LREC/COLING 2024: 2969-2983 - [c339]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING 2024: 5174-5190 - [c338]Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. LREC/COLING 2024: 6024-6035 - [c337]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang:
Dynamic Prompt Optimizing for Text-to-Image Generation. CVPR 2024: 26617-26626 - [c336]Kun Zhou, Yifan Li, Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. EACL (1) 2024: 1438-1451 - [c335]Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. ECCV (73) 2024: 174-189 - [c334]Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang:
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. EMNLP (Findings) 2024: 902-917 - [c333]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 - [c332]Yutong Bai, Zhicheng Dou, Ji-Rong Wen:
Learning Dynamic Multi-attribute Interest for Personalized Product Search. EMNLP (Findings) 2024: 2984-2993 - [c331]Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen:
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. EMNLP 2024: 5613-5626 - [c330]Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen:
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. EMNLP (Findings) 2024: 12580-12592 - [c329]Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan:
An Analysis and Mitigation of the Reversal Curse. EMNLP 2024: 13603-13615 - [c328]Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen:
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. EMNLP 2024: 14600-14615 - [c327]Jie Chen, Yupeng Zhang, Bingning Wang, Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. EMNLP (Findings) 2024: 14855-14865 - [c326]Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment. EMNLP 2024: 15337-15351 - [c325]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhi-Yuan Xie, Ji-Rong Wen, Zhong-Yi Lu:
Compression Image Dataset Based on Multiple Matrix Product States. FICC (2) 2024: 621-638 - [c324]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774 - [c323]Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. ICDE 2024: 1435-1448 - [c322]Lang Mei, Jiaxin Mao, Ji-Rong Wen:
Optimizing Probabilistic Box Embeddings with Distance Measures. ICDE 2024: 5088-5100 - [c321]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. ICDT 2024: 9:1-9:19 - [c320]Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. ICLR 2024 - [c319]Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. ICML 2024: 56382-56396 - [c318]Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen:
Rotative Factorization Machines. KDD 2024: 2912-2923 - [c317]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD 2024: 4455-4466 - [c316]Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen:
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. NeurIPS 2024 - [c315]Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen:
Reflective Multi-Agent Collaboration based on Large Language Models. NeurIPS 2024 - [c314]Zican Dong, Junyi Li, Xin Men, Xin Zhao, Bingning Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen:
Exploring Context Window of Large Language Models via Decomposed Positional Vectors. NeurIPS 2024 - [c313]Jianan Li, Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan:
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses. NeurIPS 2024 - [c312]Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. NeurIPS 2024 - [c311]Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Law of Large Sequential Recommendation Models. RecSys 2024: 444-453 - [c310]Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen:
Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. RecSys 2024: 918-923 - [c309]Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. SIGIR 2024: 1619-1628 - [c308]An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992 - [c307]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. STOC 2024: 911-922 - [c306]Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
CL4DIV: A Contrastive Learning Framework for Search Result Diversification. WSDM 2024: 171-180 - [c305]Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245 - [c304]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW 2024: 3679-3689 - [i254]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR abs/2401.00158 (2024) - [i253]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR abs/2401.00797 (2024) - [i252]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. CoRR abs/2401.01019 (2024) - [i251]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. CoRR abs/2401.03205 (2024) - [i250]Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen:
Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. CoRR abs/2401.04997 (2024) - [i249]Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen:
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. CoRR abs/2401.06081 (2024) - [i248]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) - [i247]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen:
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. CoRR abs/2402.11163 (2024) - [i246]Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen:
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. CoRR abs/2402.12052 (2024) - [i245]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) - [i244]Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models. CoRR abs/2402.14690 (2024) - [i243]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. CoRR abs/2402.16438 (2024) - [i242]Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, Ji-Rong Wen:
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. CoRR abs/2402.17497 (2024) - [i241]Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang:
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. CoRR abs/2402.17505 (2024) - [i240]Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen:
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR abs/2402.17564 (2024) - [i239]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. CoRR abs/2403.02178 (2024) - [i238]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. CoRR abs/2403.05198 (2024) - [i237]Jia-Nan Li, Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan:
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses. CoRR abs/2403.08312 (2024) - [i236]Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR abs/2403.09559 (2024) - [i235]Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. CoRR abs/2403.09792 (2024) - [i234]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. CoRR abs/2403.12648 (2024) - [i233]Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. CoRR abs/2403.13291 (2024) - [i232]Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen:
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation. CoRR abs/2403.13574 (2024) - [i231]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. CoRR abs/2403.14312 (2024) - [i230]Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. CoRR abs/2403.17729 (2024) - [i229]Ang Lv, Kaiyi Zhang, Yuhan Chen, Yulong Wang, Lifeng Liu, Ji-Rong Wen, Jian Xie, Rui Yan:
Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models. CoRR abs/2403.19521 (2024) - [i228]Zechun Niu, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. CoRR abs/2404.03707 (2024) - [i227]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang:
Dynamic Prompt Optimizing for Text-to-Image Generation. CoRR abs/2404.04095 (2024) - [i226]Xiaoqing Zhang, Xiuying Chen, Shen Gao, Shuqi Li, Xin Gao, Ji-Rong Wen, Rui Yan:
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations. CoRR abs/2404.04272 (2024) - [i225]Yushuo Chen, Tianyi Tang, Erge Xiang, Linjiang Li, Wayne Xin Zhao, Jing Wang, Yunpeng Chai, Ji-Rong Wen:
Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models. CoRR abs/2404.11502 (2024) - [i224]Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR abs/2404.13501 (2024) - [i223]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen:
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. CoRR abs/2405.12591 (2024) - [i222]Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen:
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. CoRR abs/2405.14365 (2024) - [i221]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR abs/2405.16089 (2024) - [i220]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR abs/2405.16546 (2024) - [i219]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool Learning with Large Language Models: A Survey. CoRR abs/2405.17935 (2024) - [i218]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR abs/2405.17998 (2024) - [i217]Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingbing Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen:
Exploring Context Window of Large Language Models via Decomposed Positional Vectors. CoRR abs/2405.18009 (2024) - [i216]Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR abs/2405.19654 (2024) - [i215]Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen:
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. CoRR abs/2405.19670 (2024) - [i214]Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen:
QAGCF: Graph Collaborative Filtering for Q&A Recommendation. CoRR abs/2406.04828 (2024) - [i213]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR abs/2406.07932 (2024) - [i212]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen:
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. CoRR abs/2406.11277 (2024) - [i211]Jie Chen, Yupeng Zhang, Bingning Wang, Wayne Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. CoRR abs/2406.12397 (2024) - [i210]Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Low-Redundant Optimization for Large Language Model Alignment. CoRR abs/2406.12606 (2024) - [i209]Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Ji-Rong Wen:
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. CoRR abs/2406.14022 (2024) - [i208]Yifan Du, Kun Zhou, Yuqi Huo, Yifan Li, Wayne Xin Zhao, Haoyu Lu, Zijia Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Towards Event-oriented Long Video Understanding. CoRR abs/2406.14129 (2024) - [i207]Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen:
ICLEval: Evaluating In-Context Learning Ability of Large Language Models. CoRR abs/2406.14955 (2024) - [i206]Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Zhicheng Dou, Ji-Rong Wen:
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. CoRR abs/2406.18676 (2024) - [i205]Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i204]Haonan Chen, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Query-oriented Data Augmentation for Session Search. CoRR abs/2407.03720 (2024) - [i203]Kai Ruan, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu:
Discovering symbolic expressions with parallelized tree search. CoRR abs/2407.04405 (2024) - [i202]Tianyi Tang, Yiwen Hu, Bingqian Li, Wenyang Luo, Zijing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Yuanqian Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
LLMBox: A Comprehensive Library for Large Language Models. CoRR abs/2407.05563 (2024) - [i201]Jinhao Jiang, Junyi Li, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen:
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. CoRR abs/2407.10804 (2024) - [i200]Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou:
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR abs/2407.17789 (2024) - [i199]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024) - [i198]Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen:
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation. CoRR abs/2408.08209 (2024) - [i197]Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation. CoRR abs/2409.05633 (2024) - [i196]Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen:
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants. CoRR abs/2409.20163 (2024) - [i195]Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen:
GenSim: A General Social Simulation Platform with Large Language Model based Agents. CoRR abs/2410.04360 (2024) - [i194]Zhipeng Chen, Liang Song, Kun Zhou, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. CoRR abs/2410.07825 (2024) - [i193]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. CoRR abs/2410.08197 (2024) - [i192]Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen:
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation. CoRR abs/2410.09584 (2024) - [i191]Yake Wei, Di Hu, Henghui Du, Ji-Rong Wen:
On-the-fly Modulation for Balanced Multimodal Learning. CoRR abs/2410.11582 (2024) - [i190]Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Wayne Xin Zhao, Ji-Rong Wen:
Neuron-based Personality Trait Induction in Large Language Models. CoRR abs/2410.12327 (2024) - [i189]Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Exploring the Design Space of Visual Context Representation in Video MLLMs. CoRR abs/2410.13694 (2024) - [i188]Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Ji-Rong Wen:
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning. CoRR abs/2410.20215 (2024) - [i187]Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou:
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation. CoRR abs/2410.23090 (2024) - [i186]Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. CoRR abs/2411.00040 (2024) - [i185]Jiejun Tan, Zhicheng Dou, Wen Wang, Mang Wang, Weipeng Chen, Ji-Rong Wen:
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems. CoRR abs/2411.02959 (2024) - [i184]Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen, Ruibin Xiong, Mang Wang, Weipeng Chen:
From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning. CoRR abs/2411.03817 (2024) - [i183]Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua:
Self-Calibrated Listwise Reranking with Large Language Models. CoRR abs/2411.04602 (2024) - [i182]Jinhao Jiang, Zhipeng Chen, Yingqian Min, Jie Chen, Xiaoxue Cheng, Jiapeng Wang, Yiru Tang, Haoxiang Sun, Jia Deng, Wayne Xin Zhao, Zheng Liu, Dong Yan, Jian Xie, Zhongyuan Wang, Ji-Rong Wen:
Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search. CoRR abs/2411.11694 (2024) - [i181]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen:
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing. CoRR abs/2411.19652 (2024) - [i180]Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen:
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. CoRR abs/2412.05631 (2024) - [i179]Yingqian Min, Zhipeng Chen, Jinhao Jiang, Jie Chen, Jia Deng, Yiwen Hu, Yiru Tang, Jiapeng Wang, Xiaoxue Cheng, Huatong Song, Wayne Xin Zhao, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen:
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems. CoRR abs/2412.09413 (2024) - [i178]Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen:
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. CoRR abs/2412.12196 (2024) - [i177]Shuting Wang, Jiejun Tan, Zhicheng Dou, Ji-Rong Wen:
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain. CoRR abs/2412.13018 (2024) - [i176]Guanting Dong, Chenghao Zhang, Mengjie Deng, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
Progressive Multimodal Reasoning via Active Retrieval. CoRR abs/2412.14835 (2024) - [i175]Yiwen Hu, Huatong Song, Jia Deng, Jiapeng Wang, Jie Chen, Kun Zhou, Yutao Zhu, Jinhao Jiang, Zican Dong, Wayne Xin Zhao, Ji-Rong Wen:
YuLan-Mini: An Open Data-efficient Language Model. CoRR abs/2412.17743 (2024) - [i174]Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu:
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. CoRR abs/2412.20962 (2024) - 2023
- [j107]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised audiovisual representation learning for remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 116: 103130 (2023) - [j106]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j105]Ji-Rong Wen, Zi Huang, Hanwang Zhang:
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Mach. Intell. Res. 20(2): 145-146 (2023) - [j104]Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen:
DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. Mach. Intell. Res. 20(2): 276-288 (2023) - [j103]Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen:
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. 131(5): 1211-1233 (2023) - [j102]Zelong Sun, Guoxing Yang, Jingyuan Wen, Nanyi Fei, Zhiwu Lu, Jirong Wen:
Text-to-Chinese-painting Method Based on Multi-domain VQGAN. Int. J. Softw. Informatics 13(2): 197-219 (2023) - [j101]Zhirui Deng, Zhicheng Dou, Ji-Rong Wen:
DeepQFM: a deep learning based query facets mining method. Inf. Retr. J. 26(1): 9 (2023) - [j100]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35(5): 3585-3586 (2023) - [j99]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3935-3944 (2023) - [j98]Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. ACM Trans. Intell. Syst. Technol. 14(2): 32:1-32:24 (2023) - [j97]Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3846-3857 (2023) - [j96]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. 35(7): 7220-7238 (2023) - [j95]Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35(9): 9181-9194 (2023) - [j94]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Complex Knowledge Base Question Answering: A Survey. IEEE Trans. Knowl. Data Eng. 35(11): 11196-11215 (2023) - [j93]Hui Wang, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. ACM Trans. Inf. Syst. 41(1): 19:1-19:28 (2023) - [j92]Haonan Chen, Zhicheng Dou, Qiannan Zhu, Xiaochen Zuo, Ji-Rong Wen:
Integrating Representation and Interaction for Context-Aware Document Ranking. ACM Trans. Inf. Syst. 41(1): 21:1-21:23 (2023) - [j91]Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen:
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. ACM Trans. Inf. Syst. 41(2): 32:1-32:41 (2023) - [j90]Xubo Qin, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification. ACM Trans. Inf. Syst. 41(2): 34:1-34:36 (2023) - [j89]Kun Zhou, Hui Wang, Ji-Rong Wen, Wayne Xin Zhao:
Enhancing Multi-View Smoothness for Sequential Recommendation Models. ACM Trans. Inf. Syst. 41(4): 107:1-107:27 (2023) - [j88]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen:
Enhancing Recommendation with Search Data in a Causal Learning Manner. ACM Trans. Inf. Syst. 41(4): 111:1-111:31 (2023) - [j87]Han Zhang, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Contrastive Learning for Legal Judgment Prediction. ACM Trans. Inf. Syst. 41(4): 113:1-113:25 (2023) - [c303]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen:
The Web Can Be Your Oyster for Improving Language Models. ACL (Findings) 2023: 728-746 - [c302]Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen:
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. ACL (1) 2023: 3819-3834 - [c301]Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
TOME: A Two-stage Approach for Model-based Retrieval. ACL (1) 2023: 6102-6114 - [c300]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
MVP: Multi-task Supervised Pre-training for Natural Language Generation. ACL (Findings) 2023: 8758-8794 - [c299]Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. ACL (Findings) 2023: 9268-9281 - [c298]Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Imagine: Visually-Augmented Natural Language Generation. ACL (1) 2023: 9468-9481 - [c297]Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. ACL (Findings) 2023: 13237-13249 - [c296]Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen:
Visually-augmented pretrained language models for NLP tasks without images. ACL (1) 2023: 14912-14929 - [c295]Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen:
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. CIKM 2023: 110-119 - [c294]Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen:
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. CIKM 2023: 390-399 - [c293]Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen:
VILE: Block-Aware Visual Enhanced Document Retrieval. CIKM 2023: 3104-3113 - [c292]Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao:
Towards Efficient and Effective Transformers for Sequential Recommendation. DASFAA (2) 2023: 341-356 - [c291]Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Evaluating Object Hallucination in Large Vision-Language Models. EMNLP 2023: 292-305 - [c290]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. EMNLP 2023: 3721-3735 - [c289]Junyi Li, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. EMNLP 2023: 6449-6464 - [c288]Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Xin Zhao, Ji-Rong Wen:
StructGPT: A General Framework for Large Language Model to Reason over Structured Data. EMNLP 2023: 9237-9251 - [c287]Xiaolei Wang, Xinyu Tang, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. EMNLP 2023: 10052-10065 - [c286]Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. EMNLP 2023: 12481-12490 - [c285]Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Xin Zhao, Ji-Rong Wen:
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing. EMNLP (Findings) 2023: 13771-13785 - [c284]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. EMNLP (Findings) 2023: 14777-14790 - [c283]Ruiyang Ren, Yingqi Qu, Jing Liu, Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen:
A Thorough Examination on Zero-shot Dense Retrieval. EMNLP (Findings) 2023: 15783-15796 - [c282]Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen:
Sequential Recommendation with User Causal Behavior Discovery. ICDE 2023: 28-40 - [c281]Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. ICDE 2023: 3839-3840 - [c280]Jinhao Jiang, Kun Zhou, Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. ICLR 2023 - [c279]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. IJCAI 2023: 6692-6701 - [c278]Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen:
Contrastive Learning for User Sequence Representation in Personalized Product Search. KDD 2023: 380-389 - [c277]Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen:
PSLOG: Pretraining with Search Logs for Document Ranking. KDD 2023: 2072-2082 - [c276]Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. KDD 2023: 2398-2408 - [c275]Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. KDD 2023: 5660-5672 - [c274]Zhao Yang, Bing Su, Ji-Rong Wen:
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. ACM Multimedia 2023: 3954-3964 - [c273]Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen:
Spatio-Temporal Branching for Motion Prediction using Motion Increments. ACM Multimedia 2023: 4290-4299 - [c272]Zezhong Lv, Bing Su, Ji-Rong Wen:
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. ACM Multimedia 2023: 6539-6547 - [c271]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
Binary Neural Network for Video Action Recognition. MMM (1) 2023: 95-106 - [c270]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. MMM (2) 2023: 562-574 - [c269]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS 2023 - [c268]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS 2023 - [c267]Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. NeurIPS 2023 - [c266]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) 2023: 630-647 - [c265]Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Alleviating the Long-Tail Problem in Conversational Recommender Systems. RecSys 2023: 374-385 - [c264]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. RecSys 2023: 528-539 - [c263]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Generative Next-Basket Recommendation. RecSys 2023: 737-743 - [c262]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. SIGIR 2023: 1313-1323 - [c261]Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. SIGIR 2023: 1376-1385 - [c260]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR 2023: 1549-1558 - [c259]Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen:
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR 2023: 2837-2847 - [c258]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP 2023: 129-138 - [c257]Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao:
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. WSDM 2023: 715-723 - [c256]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921 - [c255]Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen:
Incorporating Explicit Subtopics in Personalized Search. WWW 2023: 3364-3374 - [i173]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR abs/2303.00168 (2023) - [i172]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR abs/2303.06574 (2023) - [i171]Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR abs/2303.08722 (2023) - [i170]Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture. CoRR abs/2303.16753 (2023) - [i169]Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Large Language Models. CoRR abs/2303.18223 (2023) - [i168]Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen:
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. CoRR abs/2304.04358 (2023) - [i167]Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. CoRR abs/2304.10711 (2023) - [i166]Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
RenderDiffusion: Text Generation as Image Generation. CoRR abs/2304.12519 (2023) - [i165]Kun Zhou, Yifan Li, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. CoRR abs/2305.04044 (2023) - [i164]Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR abs/2305.07001 (2023) - [i163]Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, Ji-Rong Wen:
StructGPT: A General Framework for Large Language Model to Reason over Structured Data. CoRR abs/2305.09645 (2023) - [i162]Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Evaluating Object Hallucination in Large Vision-Language Models. CoRR abs/2305.10355 (2023) - [i161]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. CoRR abs/2305.10822 (2023) - [i160]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen:
The Web Can Be Your Oyster for Improving Large Language Models. CoRR abs/2305.10998 (2023) - [i159]Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
TOME: A Two-stage Approach for Model-based Retrieval. CoRR abs/2305.11161 (2023) - [i158]Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. CoRR abs/2305.11747 (2023) - [i157]Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen:
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR abs/2305.12618 (2023) - [i156]Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. CoRR abs/2305.13112 (2023) - [i155]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. CoRR abs/2305.14323 (2023) - [i154]Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Imagine: Visually-Augmented Natural Language Generation. CoRR abs/2305.16944 (2023) - [i153]Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. CoRR abs/2305.17006 (2023) - [i152]Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. CoRR abs/2306.02408 (2023) - [i151]Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen:
RecAgent: A Novel Simulation Paradigm for Recommender Systems. CoRR abs/2306.02552 (2023) - [i150]Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. CoRR abs/2306.02842 (2023) - [i149]Jiongnan Liu, Jiajie Jin, Zihan Wang, Jiehan Cheng, Zhicheng Dou, Ji-Rong Wen:
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit. CoRR abs/2306.05212 (2023) - [i148]Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. CoRR abs/2306.11027 (2023) - [i147]Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. CoRR abs/2307.00569 (2023) - [i146]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR abs/2307.08072 (2023) - [i145]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i144]Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, Haifeng Wang:
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. CoRR abs/2307.11019 (2023) - [i143]Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Alleviating the Long-Tail Problem in Conversational Recommender Systems. CoRR abs/2307.11650 (2023) - [i142]Zhao Yang, Bing Su, Ji-Rong Wen:
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. CoRR abs/2308.01850 (2023) - [i141]Zezhong Lv, Bing Su, Ji-Rong Wen:
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. CoRR abs/2308.05648 (2023) - [i140]Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen:
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. CoRR abs/2308.05902 (2023) - [i139]Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, Ji-Rong Wen:
Large Language Models for Information Retrieval: A Survey. CoRR abs/2308.07107 (2023) - [i138]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. CoRR abs/2308.08120 (2023) - [i137]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen:
A Survey on Large Language Model based Autonomous Agents. CoRR abs/2308.11432 (2023) - [i136]Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen:
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection. CoRR abs/2308.15711 (2023) - [i135]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. CoRR abs/2309.13345 (2023) - [i134]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR abs/2310.09233 (2023) - [i133]Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan:
From Indeterminacy to Determinacy: Augmenting Logical Reasoning Capabilities with Large Language Models. CoRR abs/2310.18659 (2023) - [i132]Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen:
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. CoRR abs/2311.01487 (2023) - [i131]Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han:
Don't Make Your LLM an Evaluation Benchmark Cheater. CoRR abs/2311.01964 (2023) - [i130]Geyang Guo, Ranchi Zhao, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. CoRR abs/2311.04072 (2023) - [i129]Ze-Feng Gao, Shuai Qu, Bocheng Zeng, Yang Liu, Ji-Rong Wen, Hao Sun, Peng-Jie Guo, Zhong-Yi Lu:
AI-accelerated Discovery of Altermagnetic Materials. CoRR abs/2311.04418 (2023) - [i128]Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan:
Are We Falling in a Middle-Intelligence Trap? An Analysis and Mitigation of the Reversal Curse. CoRR abs/2311.07468 (2023) - [i127]Wenkai Yang, Yankai Lin, Jie Zhou, Jirong Wen:
Enabling Large Language Models to Learn from Rules. CoRR abs/2311.08883 (2023) - [i126]Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. CoRR abs/2311.09049 (2023) - [i125]Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Law of Large Sequential Recommendation Models. CoRR abs/2311.11351 (2023) - [i124]Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao:
UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction. CoRR abs/2311.15493 (2023) - [i123]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - 2022
- [j86]Tingchen Fu, Sheng Gao, Xueliang Zhao, Ji-Rong Wen, Rui Yan:
Learning towards conversational AI: A survey. AI Open 3: 14-28 (2022) - [j85]Guoping Zhao, Mingyu Zhang, Jiajun Liu, Yaxian Li, Ji-Rong Wen:
AP-GAN: Adversarial patch attack on content-based image retrieval systems. GeoInformatica 26(2): 347-377 (2022) - [j84]Bing Su, Jiahuan Zhou, Ji-Rong Wen, Ying Wu:
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3123-3138 (2022) - [j83]Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, Ji-Rong Wen:
Class-Aware Sounding Objects Localization via Audiovisual Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9844-9859 (2022) - [j82]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. Proc. VLDB Endow. 15(7): 1376-1389 (2022) - [j81]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen:
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. IEEE ACM Trans. Audio Speech Lang. Process. 30: 721-733 (2022) - [j80]Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Looking Back on the Past: Active Learning With Historical Evaluation Results. IEEE Trans. Knowl. Data Eng. 34(10): 4921-4932 (2022) - [j79]Tianjing Zeng, Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen:
Persistent Summaries. ACM Trans. Database Syst. 47(3): 11:1-11:42 (2022) - [j78]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen:
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 6:1-6:26 (2022) - [j77]Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022) - [j76]Jing Yao, Zhicheng Dou, Ji-Rong Wen:
Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search. ACM Trans. Inf. Syst. 40(3): 43:1-43:29 (2022) - [c254]Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan:
MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation. ACL (1) 2022: 308-319 - [c253]Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan:
Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) 2022: 1459-1472 - [c252]Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan:
There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. ACL (1) 2022: 3901-3913 - [c251]Zheng Gong, Kun Zhou, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. ACL (1) 2022: 5923-5933 - [c250]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. ACL (1) 2022: 6120-6130 - [c249]Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen:
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. CIKM 2022: 180-190 - [c248]Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269 - [c247]Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen:
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. CIKM 2022: 2923-2932 - [c246]Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM 2022: 4722-4726 - [c245]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Semantic Sentence Matching via Interacting Syntax Graphs. COLING 2022: 938-949 - [c244]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c243]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. COLING 2022: 3263-3273 - [c242]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. COLING 2022: 6340-6354 - [c241]Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen:
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CVPR 2022: 15671-15680 - [c240]Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu:
Learning to Answer Questions in Dynamic Audio-Visual Scenarios. CVPR 2022: 19086-19096 - [c239]Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. DASFAA (1) 2022: 38-54 - [c238]Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. EMNLP (Demos) 2022: 435-444 - [c237]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. EMNLP (Industry Track) 2022: 548-559 - [c236]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. EMNLP 2022: 1044-1058 - [c235]Yuqing Li, Yuxin Zhang, Bin Wu, Ji-Rong Wen, Ruihua Song, Ting Bai:
A Multi-Modal Knowledge Graph for Classical Chinese Poetry. EMNLP (Findings) 2022: 2318-2326 - [c234]Gautam Srivastava, Guoliang Li, Jirong Wen:
Message from Data Science and Systems 2022 General Chairs. HPCC/DSS/SmartCity/DependSys 2022: lxxviii - [c233]Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, Jirong Wen:
InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee. ICANN (3) 2022: 162-175 - [c232]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200 - [c231]Bing Su, Ji-Rong Wen:
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. ICLR 2022 - [c230]Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen:
STAR-GNN: Spatial-Temporal Video Representation for Content-Based Retrieval. ICME 2022: 1-6 - [c229]Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen:
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. ICTIR 2022: 232-242 - [c228]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. KDD 2022: 585-593 - [c227]Zhan Su, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Knowledge Enhanced Search Result Diversification. KDD 2022: 1687-1695 - [c226]Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. KDD 2022: 1929-1937 - [c225]Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514 - [c224]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. KDD 2022: 3327-3335 - [c223]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. KDD 2022: 4571-4581 - [c222]Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. NAACL-HLT (Findings) 2022: 1730-1741 - [c221]Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Xin Zhao:
Learning to Transfer Prompts for Text Generation. NAACL-HLT 2022: 3506-3518 - [c220]Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. NAACL-HLT 2022: 3519-3539 - [c219]