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ORCIDJie Tang 0001
唐杰
Person information
- unicode name: 唐杰
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Jie Tang — disambiguation page
- Jie Tang 0002
![[0000-0003-0619-0338]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0619-0338")
— South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 2 more) - Jie Tang 0003 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Tang 0004 — Chinese Academy of Sciences, Shanghai Advanced Research Institute, China
- Jie Tang 0005 (aka: Tang Jie 0005) — George Mason University, Fairfax, VA, USA (and 1 more)
- Jie Tang 0006 — Nanjing University, Department of Computer Science and Technology, tate Key Laboratory for Novel Software Technology, Nanjing, China
- Jie Tang 0007 — Nanjing University of Information Science and Technology, School of Management Science and Engineering, China (and 1 more)
- Jie Tang 0008 — Airbnb Inc., San Francisco, CA, USA
- Jie Tang 0009 — East China Jiaotong University, School of Information Engineering, Nanchang, China
- Jie Tang 0010 — Sichuan Vocational and Technical College of Communications, Department of Rail Transit, Chengdu, China
- Jie Tang 0011 — Beijing University of Posts and Telecommunications, School of Economics and Management, Beijing, China (and 1 more)
- Jie Tang 0012 — University of Hong Kong (and 1 more)
- Jie Tang 0013 — Wuhan Fourth Hospital, Department of Orthopaedics, Wuhan, China
- Jie Tang 0014 — Capital Medical University, Xuanwu Hospital, Department of Neurosurgery, Beijing, China
- Jie Tang 0015 — National University of Defense Technology, College of Intelligence Science, Changsha, China
- Jie Tang 0016 — Bangkok Thonburi University, Studying School for Doctor's Degree, Thailand (and 1 more)
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2020 – today
- 2026
[j141]Mingxia Gong, Jie Tang, Wenxuan Chen, Yufu Zhang, Xiao Han, Yi Chen, Weiyan Ren, Yubo Fan, Yan Xu, Fang Pu:
Assessment of tibial shaft fracture healing using two-stage deep learning based on mRUST. Biomed. Signal Process. Control. 113: 109023 (2026)- [j140]Yufei He, Zhenyu Hou, Yukuo Cen, Jun Hu, Feng He, Xu Cheng, Jie Tang, Bryan Hooi:
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training. IEEE Trans. Knowl. Data Eng. 38(2): 1114-1128 (2026) - [c374]Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, WangJie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang:
Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement. AAAI 2026: 34405-34413 - [c373]Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang:
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. AAAI 2026: 34854-34861 - [i224]Yanzhi Tian, Cunxiang Wang, Zeming Liu, Heyan Huang, Wenbo Yu, Dawei Song, Jie Tang, Yuhang Guo:
Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation. CoRR abs/2601.07338 (2026) - [i223]Yi Zhao, Zhen Yang, Shuaiqi Duan, Wenmeng Yu, Zhe Su, Jibing Gong, Jie Tang:
PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries. CoRR abs/2601.11525 (2026) - [i222]Yelin Chen, Fanjin Zhang, Suping Sun, Yunhe Pang, Yuanchun Wang, Jian Song, Xiaoyan Li, Lei Hou, Shu Zhao, Jie Tang, Juanzi Li:
RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension. CoRR abs/2601.14289 (2026) - 2025
- [j139]Boyan Wang, Yangliao Geng, Xingyi Cheng, Bo Chen, Zhilei Bei, Wei Wang, Jie Tang, Le Song:
ProtGO: universal protein function prediction utilizing multi-modal gene ontology knowledge. Bioinform. 41(7) (2025) - [j138]Minlie Huang, Yingkang Wang, Shiyao Cui, Pei Ke, Jie Tang:
The superalignment of superhuman intelligence with large language models. Sci. China Inf. Sci. 68(6) (2025) - [j137]Lu Chen, Li Yang, Jie Tang, Haoyuan Ma, Liu Yu, Shenbing Wu, Junkang Wang, Hao Wu, Gun Li:
Enhanced Self-Attention-Based Rapid CNN for Detecting Dense Objects in Varying Illumination. Cogn. Comput. 17(1): 26 (2025) - [j136]Lu Chen, Gun Li, Jie Tang, Yang Li, Shenbing Fu, Haoyuan Ma, Yu Liu, Yuhao Yang, Weizhong Qian, Qinsheng Zhu, Amir Hussain:
A Novel Continual Learning and Adaptive Sensing State Response-Based Target Recognition and Long-Term Tracking Framework for Smart Industrial Applications. Expert Syst. J. Knowl. Eng. 42(5) (2025) - [j135]Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang:
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. IEEE Trans. Knowl. Data Eng. 37(8): 4728-4742 (2025) - [j134]Rongen Yan, Depeng Dang, Keqin Peng, Yakun Li, Ye Tao, Lei Hou, Juanzi Li, Jie Tang:
Document-Level Relation Extraction With Low Entity Redundancy Feature Map. IEEE Trans. Knowl. Data Eng. 37(11): 6379-6391 (2025) - [j133]Dan Zhang, Shaojie Zheng, Yifan Zhu, Huihui Yuan, Jibing Gong, Jie Tang:
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations. ACM Trans. Inf. Syst. 43(2): 33:1-33:29 (2025) - [j132]Hanyu Lai, Xiao Liu, Hao Yu, Yifan Xu, Iat Long Iong, Shuntian Yao, Aohan Zeng, Zhengxiao Du, Yuxiao Dong, Jie Tang:
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System. ACM Trans. Inf. Syst. 43(5): 122:1-122:43 (2025) - [c372]Yelin Chen, Fanjin Zhang, Jie Tang:
Small Language Model Makes an Effective Long Text Extractor. AAAI 2025: 23623-23631 - [c371]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. ACL (Findings) 2025: 1474-1491 - [c370]Yifan Xu, Xiao Liu, Xueqiao Sun, Siyi Cheng, Hao Yu, Hanyu Lai, Shudan Zhang, Dan Zhang, Jie Tang, Yuxiao Dong:
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents. ACL (1) 2025: 2144-2166 - [c369]Hanyu Lai, Junjie Gao, Xiao Liu, Yifan Xu, Shudan Zhang, Yuxiao Dong, Jie Tang:
AndroidGen: Building an Android Language Agent under Data Scarcity. ACL (1) 2025: 2727-2749 - [c368]Hanyu Lai, Xiao Liu, Junjie Gao, Jiale Cheng, Zehan Qi, Yifan Xu, Shuntian Yao, Dan Zhang, Jinhua Du, Zhenyu Hou, Xin Lv, Minlie Huang, Yuxiao Dong, Jie Tang:
A Survey of Post-Training Scaling in Large Language Models. ACL (1) 2025: 2771-2791 - [c367]Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. ACL (1) 2025: 3639-3664 - [c366]Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong:
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling. ACL (Findings) 2025: 3742-3761 - [c365]Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. ACL (1) 2025: 6286-6303 - [c364]Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
Dynamic Scaling of Unit Tests for Code Reward Modeling. ACL (1) 2025: 6917-6935 - [c363]Xiaokang Zhang, Sijia Luo, Bohan Zhang, Zeyao Ma, Jing Zhang, Yang Li, Guanlin Li, Zijun Yao, Kangli Xu, Jinchang Zhou, Daniel Zhang-Li, Jifan Yu, Shu Zhao, Juanzi Li, Jie Tang:
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios. ACL (Findings) 2025: 10315-10344 - [c362]Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong:
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. ACL (1) 2025: 12355-12369 - [c361]Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang:
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. ACL (Findings) 2025: 24974-25007 - [c360]Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
LongSafety: Evaluating Long-Context Safety of Large Language Models. ACL (1) 2025: 31705-31725 - [c359]Jie Tang, Hua Yang, Kai Xiong, Hanyang Li, Paulo Quaresma, Hongbin Yu, Wenbo Zhang, Mingzhou Song:
Applying DeepSeek to BioASQ Task 13B: Using Supervised Fine-Tuning and Few-Shot Learning. CLEF (Working Notes) 2025: 605-616 - [c358]Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang:
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. CVPR 2025: 8450-8460 - [c357]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. ICLR 2025 - [c356]Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. ICLR 2025 - [c355]Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao:
Understanding the Stability-based Generalization of Personalized Federated Learning. ICLR 2025 - [c354]Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Xixuan Song, Yifan Xu, Shudan Zhang, Hanyu Lai, 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. ICLR 2025 - [c353]Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang:
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning. ICLR 2025 - [c352]Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Jiadai Sun, Xinyue Yang, Yu Yang, Shuntian Yao, Wei Xu, Jie Tang, Yuxiao Dong:
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. ICLR 2025 - [c351]Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Yuxuan Zhang, Weihan Wang, Yean Cheng, Bin Xu, Xiaotao Gu, Yuxiao Dong, Jie Tang:
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. ICLR 2025 - [c350]Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang:
Scaling Speech-Text Pre-training with Synthetic Interleaved Data. ICLR 2025 - [c349]Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang:
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. ICML 2025 - [c348]Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong:
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. ICML 2025 - [c347]Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang:
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. ICML 2025 - [c346]Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Evgeny Kharlamov, Jie Tang:
GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model. KDD (2) 2025: 2222-2233 - [c345]Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang:
SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking. KDD (1) 2025: 2660-2671 - [i221]Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang:
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. CoRR abs/2501.01045 (2025) - [i220]Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
Dynamic Scaling of Unit Tests for Code Reward Modeling. CoRR abs/2501.01054 (2025) - [i219]Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. CoRR abs/2501.01668 (2025) - [i218]Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang:
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. CoRR abs/2501.02955 (2025) - [i217]Lucen Zhong, Zhengxiao Du, Xiaohan Zhang, Haiyi Hu, Jie Tang:
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario. CoRR abs/2501.10132 (2025) - [i216]Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong:
Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. CoRR abs/2501.11651 (2025) - [i215]Dan Zhang, Tao Feng, Lilong Xue, Yuandong Wang, Yuxiao Dong, Jie Tang:
Parameter-Efficient Fine-Tuning for Foundation Models. CoRR abs/2501.13787 (2025) - [i214]Yelin Chen, Fanjin Zhang, Jie Tang:
Small Language Model Makes an Effective Long Text Extractor. CoRR abs/2502.07286 (2025) - [i213]Yu Zhang, Shujun Peng, Nengwu Wu, Xinhan Lin, Yang Hu, Jie Tang:
RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts. CoRR abs/2502.12589 (2025) - [i212]Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang:
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. CoRR abs/2502.13031 (2025) - [i211]Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue:
DataSciBench: An LLM Agent Benchmark for Data Science. CoRR abs/2502.13897 (2025) - [i210]Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang:
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. CoRR abs/2502.15828 (2025) - [i209]Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
LongSafety: Evaluating Long-Context Safety of Large Language Models. CoRR abs/2502.16971 (2025) - [i208]Shuxun Yang, Cunxiang Wang, Yidong Wang, Xiaotao Gu, Minlie Huang, Jie Tang:
StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error. CoRR abs/2503.10105 (2025) - [i207]Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization. CoRR abs/2503.20491 (2025) - [i206]Hanyu Lai, Junjie Gao, Xiao Liu, Yifan Xu, Shudan Zhang, Yuxiao Dong, Jie Tang:
AndroidGen: Building an Android Language Agent under Data Scarcity. CoRR abs/2504.19298 (2025) - [i205]Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong:
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling. CoRR abs/2506.07636 (2025) - [i204]Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong:
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. CoRR abs/2506.11902 (2025) - [i203]Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Shangqin Tu, Shengbiao Meng, Tianshu Zhang, Tianwei Luo, Tianxiang Hao, Wenkai Li, Wei Jia, Xin Lyu, Xuancheng Huang, Yanling Wang, Yadong Xue, Yanfeng Wang, Yifan An, Yifan Du, Yiming Shi, Yiheng Huang, Yilin Niu, Yuan Wang, Yuanchang Yue, Yuchen Li, Yutao Zhang, Yuxuan Zhang, Zhanxiao Du, Zhenyu Hou, Zhao Xue, Zhengxiao Du, Zihan Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang:
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. CoRR abs/2507.01006 (2025) - [i202]Xu Cheng, Liang Yao, Feng He, Yukuo Cen, Yufei He, Chenhui Zhang, Wenzheng Feng, Hongyun Cai, Jie Tang:
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges. CoRR abs/2507.14570 (2025) - [i201]Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tang, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi:
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. CoRR abs/2507.15395 (2025) - [i200]Yikun Li, Ngoc Tan Bui, Ting Zhang, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo:
Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? CoRR abs/2507.21817 (2025) - [i199]Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang:
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. CoRR abs/2508.09724 (2025) - [i198]Hanyu Lai, Xiao Liu, Yanxiao Zhao, Han Xu, Hanchen Zhang, Bohao Jing, Yanyu Ren, Shuntian Yao, Yuxiao Dong, Jie Tang:
ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents. CoRR abs/2508.14040 (2025) - [i197]Sining Zhoubian, Dan Zhang, Yuxiao Dong, Jie Tang:
ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding. CoRR abs/2508.19576 (2025) - [i196]Wei Wang, Felix Henry, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang:
Can Large Language Models Master Complex Card Games? CoRR abs/2509.01328 (2025) - [i195]Rui Lu, Zhenyu Hou, Zihan Wang, Hanchen Zhang, Xiao Liu, Yujiang Li, Shi Feng, Jie Tang, Yuxiao Dong:
DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL. CoRR abs/2509.10446 (2025) - [i194]Dan Zhang, Min Cai, Jonathan Light, Ziniu Hu, Yisong Yue, Jie Tang:
TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference. CoRR abs/2509.15110 (2025) - [i193]Haoming Wen, Yushi Bai, Juanzi Li, Jie Tang:
SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression. CoRR abs/2509.25176 (2025) - [i192]Hanchen Zhang, Xiao Liu, Bowen Lv, Xueqiao Sun, Bohao Jing, Iat Long Iong, Zhenyu Hou, Zehan Qi, Hanyu Lai, Yifan Xu, Rui Lu, Hongning Wang, Jie Tang, Yuxiao Dong:
AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework. CoRR abs/2510.04206 (2025) - [i191]Jiale Cheng, Yusen Liu, Xinyu Zhang, Yulin Fei, Wenyi Hong, Ruiliang Lyu, Weihan Wang, Zhe Su, Xiaotao Gu, Xiao Liu, Yushi Bai, Jie Tang, Hongning Wang, Minlie Huang:
Glyph: Scaling Context Windows via Visual-Text Compression. CoRR abs/2510.17800 (2025) - [i190]Zhenxing Zhang, Jiayan Teng, Zhuoyi Yang, Tiankun Cao, Cheng Wang, Xiaotao Gu, Jie Tang, Dan Guo, Meng Wang:
Kaleido: Open-Sourced Multi-Subject Reference Video Generation Model. CoRR abs/2510.18573 (2025) - [i189]Erle Zhu, Dazhi Jiang, Yuan Wang, Xujun Li, Jiale Cheng, Yuxian Gu, Yilin Niu, Aohan Zeng, Jie Tang, Minlie Huang, Hongning Wang:
Data-Efficient RLVR via Off-Policy Influence Guidance. CoRR abs/2510.26491 (2025) - [i188]Mingde Xu, Zhen Yang, Wenyi Hong, Lihang Pan, Xinyue Fan, Yan Wang, Xiaotao Gu, Bin Xu, Jie Tang:
WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation. CoRR abs/2511.06251 (2025) - [i187]Zhen Yang, Wenyi Hong, Mingde Xu, Xinyue Fan, Weihan Wang, Jiele Cheng, Xiaotao Gu, Jie Tang:
UI2CodeN: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation. CoRR abs/2511.08195 (2025) - [i186]Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, WangJie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang:
Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement. CoRR abs/2511.16331 (2025) - [i185]Shizhan Liu, Xinran Deng, Zhuoyi Yang, Jiayan Teng, Xiaotao Gu, Jie Tang:
Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability. CoRR abs/2512.05394 (2025) - [i184]Wenhao Yan, Sheng Ye, Zhuoyi Yang, Jiayan Teng, Zhen-Hui Dong, Kairui Wen, Xiaotao Gu, Yong-Jin Liu, Jie Tang:
SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations. CoRR abs/2512.05905 (2025) - [i183]Jiayan Cui, Zhihan Yang, Naihan Li, Jiankun Tian, Xingyu Ma, Yi Zhang, Guangyu Chen, Runxuan Yang, Yuqing Cheng, Yizhi Zhou, Guochen Yu, Xiaotao Gu, Jie Tang:
GLM-TTS Technical Report. CoRR abs/2512.14291 (2025) - 2024
- [j131]Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT understands, too. AI Open 5: 208-215 (2024) - [j130]Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, Jie Tang:
Gift Contagion in Online Groups: Evidence from Virtual Red Packets. Manag. Sci. 70(7): 4465-4479 (2024) - [j129]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) - [j128]Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang:
Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. 145: 109884 (2024) - [j127]Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang:
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. IEEE Trans. Knowl. Data Eng. 36(2): 518-529 (2024) - [j126]Xu Feng, Wenjian Yu, Yuyang Xie, Jie Tang:
Algorithm 1043: Faster Randomized SVD with Dynamic Shifts. ACM Trans. Math. Softw. 50(2): 14:1-14:27 (2024) - [c344]Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. AAAI 2024: 9269-9277 - [c343]Iat Long Iong, Xiao Liu, Yuxuan Chen, Hanyu Lai, Shuntian Yao, Pengbo Shen, Hao Yu, Yuxiao Dong, Jie Tang:
OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models. ACL (3) 2024: 72-81 - [c342]Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang:
AutoRE: Document-Level Relation Extraction with Large Language Models. ACL (3) 2024: 211-220 - [c341]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 - [c340]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 - [c339]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 - [c338]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 - [c337]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 - [c336]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 - [c335]Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang:
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. ACL (1) 2024: 12348-12364 - [c334]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 - [c333]Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang:
SafetyBench: Evaluating the Safety of Large Language Models. ACL (1) 2024: 15537-15553 - [c332]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 - [c331]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 - [c330]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 - [c329]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 - [c328]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 - [c327]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 - [c326]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 - [c325]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 - [c324]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 - [c323]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 - [c322]Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang:
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. ICLR 2024 - [c321]Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR 2024 - [c320]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient Exact Optimization of Language Model Alignment. ICML 2024: 21648-21671 - [c319]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 - [c318]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 - [c317]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 - [c316]Jie Tang, Yuxiao Dong, Michalis Vazirgiannis:
Generative AI Day. KDD 2024: 6699-6700 - [c315]Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie:
The First Workshop on AI Behavioral Science. KDD 2024: 6724-6725 - [c314]