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2020 – today
- 2024
- [j18]Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5692-5711 (2024) - [c101]Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. AAAI 2024: 9269-9277 - [c100]Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang:
AgentTuning: Enabling Generalized Agent Abilities for LLMs. ACL (Findings) 2024: 3053-3077 - [c99]Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. ACL (1) 2024: 3119-3137 - [c98]Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. ACL (1) 2024: 3201-3219 - [c97]Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Yuxiao Dong, Jie Tang:
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries. ACL (Findings) 2024: 7907-7928 - [c96]Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang:
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. ACL (Findings) 2024: 8841-8852 - [c95]Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) 2024: 11621-11640 - [c94]Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) 2024: 13034-13054 - [c93]Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, Jie Tang:
CogAgent: A Visual Language Model for GUI Agents. CVPR 2024: 14281-14290 - [c92]Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang:
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. ECCV (77) 2024: 1-22 - [c91]Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang:
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. ECCV (83) 2024: 141-156 - [c90]Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li:
LongAlign: A Recipe for Long Context Alignment of Large Language Models. EMNLP (Findings) 2024: 1376-1395 - [c89]Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CharacterGLM: Customizing Social Characters with Large Language Models. EMNLP (Industry Track) 2024: 1457-1476 - [c88]Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. EMNLP (Findings) 2024: 6786-6803 - [c87]Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su:
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. EMNLP 2024: 7646-7663 - [c86]Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong:
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. EMNLP (Findings) 2024: 9733-9760 - [c85]Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang:
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. EMNLP 2024: 22600-22632 - [c84]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. ICDE 2024: 2723-2736 - [c83]Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang:
AgentBench: Evaluating LLMs as Agents. ICLR 2024 - [c82]Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. KDD 2024: 4467-4478 - [c81]Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang:
AutoWebGLM: A Large Language Model-based Web Navigating Agent. KDD 2024: 5295-5306 - [c80]Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang:
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. KDD 2024: 6214-6225 - [c79]Jie Tang, Yuxiao Dong, Michalis Vazirgiannis:
Generative AI Day. KDD 2024: 6699-6700 - [c78]Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang:
RecDCL: Dual Contrastive Learning for Recommendation. WWW 2024: 3655-3666 - [i104]Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song:
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR abs/2401.06199 (2024) - [i103]Mingdao Liu, Aohan Zeng, Bowen Wang, Peng Zhang, Jie Tang, Yuxiao Dong:
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding. CoRR abs/2401.06761 (2024) - [i102]Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang:
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning. CoRR abs/2401.07950 (2024) - [i101]Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang:
RecDCL: Dual Contrastive Learning for Recommendation. CoRR abs/2401.15635 (2024) - [i100]Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li:
LongAlign: A Recipe for Long Context Alignment of Large Language Models. CoRR abs/2401.18058 (2024) - [i99]Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang:
CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations. CoRR abs/2402.04236 (2024) - [i98]Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. CoRR abs/2402.11855 (2024) - [i97]Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su:
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. CoRR abs/2402.14672 (2024) - [i96]Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang:
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. CoRR abs/2402.15810 (2024) - [i95]Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. CoRR abs/2402.17238 (2024) - [i94]Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang:
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. CoRR abs/2403.05121 (2024) - [i93]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. CoRR abs/2403.11483 (2024) - [i92]Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang:
AutoRE: Document-Level Relation Extraction with Large Language Models. CoRR abs/2403.14888 (2024) - [i91]Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang:
Understanding Emergent Abilities of Language Models from the Loss Perspective. CoRR abs/2403.15796 (2024) - [i90]Xiao Liu, Xixuan Song, Yuxiao Dong, Jie Tang:
Extensive Self-Contrast Enables Feedback-Free Language Model Alignment. CoRR abs/2404.00604 (2024) - [i89]Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong:
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. CoRR abs/2404.00934 (2024) - [i88]Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong:
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. CoRR abs/2404.02893 (2024) - [i87]Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang:
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent. CoRR abs/2404.03648 (2024) - [i86]Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang:
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. CoRR abs/2405.04312 (2024) - [i85]Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Xiaohan Zhang, Yuxiao Dong, Jie Tang:
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts. CoRR abs/2405.04520 (2024) - [i84]Zhenyu Hou, Haozhan Li, Yukuo Cen, Jie Tang, Yuxiao Dong:
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment. CoRR abs/2406.02953 (2024) - [i83]Dan Zhang, Sining Zhoubian, Yisong Yue, Yuxiao Dong, Jie Tang:
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. CoRR abs/2406.03816 (2024) - [i82]Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Shiyu Huang, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang:
LVBench: An Extreme Long Video Understanding Benchmark. CoRR abs/2406.08035 (2024) - [i81]Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang:
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. CoRR abs/2406.08762 (2024) - [i80]Yuhang Wu, Wenmeng Yu, Yean Cheng, Yan Wang, Xiaohan Zhang, Jiazheng Xu, Ming Ding, Yuxiao Dong:
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models. CoRR abs/2406.09295 (2024) - [i79]Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang:
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR abs/2406.12793 (2024) - [i78]Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. CoRR abs/2406.16714 (2024) - [i77]Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. CoRR abs/2407.15431 (2024) - [i76]Yuandong Wang, Xuhui Ren, Tong Chen, Yuxiao Dong, Nguyen Quoc Viet Hung, Jie Tang:
Multi-turn Response Selection with Commonsense-enhanced Language Models. CoRR abs/2407.18479 (2024) - [i75]Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Xiaotao Gu, Yuxuan Zhang, Weihan Wang, Yean Cheng, Ting Liu, Bin Xu, Yuxiao Dong, Jie Tang:
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. CoRR abs/2408.06072 (2024) - [i74]Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Yifan Xu, Xixuan Song, Shudan Zhang, Hanyu Lai, Xinyi Liu, Hanlin Zhao, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang:
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. CoRR abs/2408.06327 (2024) - [i73]Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs. CoRR abs/2408.07055 (2024) - [i72]Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. CoRR abs/2408.15778 (2024) - [i71]Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Zhao Xue, Lei Zhao, Zhuoyi Yang, Xiaotao Gu, Xiaohan Zhang, Guanyu Feng, Da Yin, Zihan Wang, Ji Qi, Xixuan Song, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Yuxiao Dong, Jie Tang:
CogVLM2: Visual Language Models for Image and Video Understanding. CoRR abs/2408.16500 (2024) - [i70]Jiajie Zhang, Yushi Bai, Xin Lv, Wanjun Gu, Danqing Liu, Minhao Zou, Shulin Cao, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li:
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA. CoRR abs/2409.02897 (2024) - [i69]Zhen Yang, Jinhao Chen, Zhengxiao Du, Wenmeng Yu, Weihan Wang, Wenyi Hong, Zhihuan Jiang, Bin Xu, Yuxiao Dong, Jie Tang:
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model. CoRR abs/2409.13729 (2024) - [i68]Zhihuan Jiang, Zhen Yang, Jinhao Chen, Zhengxiao Du, Weihan Wang, Bin Xu, Yuxiao Dong, Jie Tang:
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning. CoRR abs/2409.13730 (2024) - [i67]Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang:
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. CoRR abs/2410.18050 (2024) - [i66]Jiajie Zhang, Zhongni Hou, Xin Lv, Shulin Cao, Zhenyu Hou, Yilin Niu, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li:
LongReward: Improving Long-context Large Language Models with AI Feedback. CoRR abs/2410.21252 (2024) - [i65]Xiao Xia, Dan Zhang, Zibo Liao, Zhenyu Hou, Tianrui Sun, Jing Li, Ling Fu, Yuxiao Dong:
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent. CoRR abs/2410.21909 (2024) - [i64]Yifan Xu, Xiao Liu, Xueqiao Sun, Siyi Cheng, Yun-Hao Liu, Hanyu Lai, Shudan Zhang, Dan Zhang, Jie Tang, Yuxiao Dong:
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents. CoRR abs/2410.24024 (2024) - [i63]Xiao Liu, Bo Qin, Dongzhu Liang, Guang Dong, Hanyu Lai, Hanchen Zhang, Hanlin Zhao, Iat Long Iong, Jiadai Sun, Jiaqi Wang, Junjie Gao, Junjun Shan, Kangning Liu, Shudan Zhang, Shuntian Yao, Siyi Cheng, Wentao Yao, Wenyi Zhao, Xinghan Liu, Xinyi Liu, Xinying Chen, Xinyue Yang, Yang Yang, Yifan Xu, Yu Yang, Yujia Wang, Yulin Xu, Zehan Qi, Yuxiao Dong, Jie Tang:
AutoGLM: Autonomous Foundation Agents for GUIs. CoRR abs/2411.00820 (2024) - [i62]Yean Cheng, Ziqi Cai, Ming Ding, Wendi Zheng, Shiyu Huang, Yuxiao Dong, Jie Tang, Boxin Shi:
DreamPolish: Domain Score Distillation With Progressive Geometry Generation. CoRR abs/2411.01602 (2024) - [i61]Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Wenyi Zhao, Yu Yang, Xinyue Yang, Jiadai Sun, Shuntian Yao, Tianjie Zhang, Wei Xu, Jie Tang, Yuxiao Dong:
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. CoRR abs/2411.02337 (2024) - [i60]Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang:
Scaling Speech-Text Pre-training with Synthetic Interleaved Data. CoRR abs/2411.17607 (2024) - [i59]Aohan Zeng, Zhengxiao Du, Mingdao Liu, Kedong Wang, Shengmin Jiang, Lei Zhao, Yuxiao Dong, Jie Tang:
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot. CoRR abs/2412.02612 (2024) - [i58]Zhenyu Hou, Pengfan Du, Yilin Niu, Zhengxiao Du, Aohan Zeng, Xiao Liu, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong:
Does RLHF Scale? Exploring the Impacts From Data, Model, and Method. CoRR abs/2412.06000 (2024) - 2023
- [j17]Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang:
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(2): 1895-1908 (2023) - [j16]Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang:
Automated Unsupervised Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(3): 2285-2298 (2023) - [j15]Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8037-8051 (2023) - [j14]Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang:
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(9): 9225-9239 (2023) - [j13]Yuyang Xie, Yuxiao Dong, Jiezhong Qiu, Wenjian Yu, Xu Feng, Jie Tang:
SketchNE: Embedding Billion-Scale Networks Accurately in One Hour. IEEE Trans. Knowl. Data Eng. 35(10): 10666-10680 (2023) - [c77]Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang:
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. EMNLP (Findings) 2023: 13117-13130 - [c76]Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang:
GLM-130B: An Open Bilingual Pre-trained Model. ICLR 2023 - [c75]Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD 2023: 3057-3069 - [c74]Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang:
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. KDD 2023: 3650-3662 - [c73]Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang:
Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. KDD 2023: 3817-3828 - [c72]Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang:
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. KDD 2023: 4549-4560 - [c71]Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang:
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. KDD 2023: 5673-5684 - [c70]Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik:
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). KDD 2023: 5870-5871 - [c69]Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong:
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. NeurIPS 2023 - [c68]Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang:
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. ECML/PKDD (6) 2023: 207-224 - [c67]Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang:
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. WSDM 2023: 1273-1274 - [c66]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. WWW 2023: 737-746 - [c65]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [c64]Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang:
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW 2023: 759-769 - [i57]Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang:
Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit. CoRR abs/2302.11848 (2023) - [i56]Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Yuxiao Dong, Bin Xu, Lei Hou, Juanzi Li, Jie Tang, Weidong Guo, Hui Liu, Yu Xu:
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. CoRR abs/2303.14655 (2023) - [i55]Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang:
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. CoRR abs/2303.17568 (2023) - [i54]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR abs/2304.04779 (2023) - [i53]Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong:
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. CoRR abs/2304.05977 (2023) - [i52]Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang:
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. CoRR abs/2305.15262 (2023) - [i51]Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR abs/2306.03355 (2023) - [i50]Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang:
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. CoRR abs/2306.07906 (2023) - [i49]Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang:
AgentBench: Evaluating LLMs as Agents. CoRR abs/2308.03688 (2023) - [i48]Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. CoRR abs/2308.14508 (2023) - [i47]Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang:
AgentTuning: Enabling Generalized Agent Abilities for LLMs. CoRR abs/2310.12823 (2023) - [i46]