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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.org/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
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2020 – today
- 2025
[j133]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)- 2024
- [j132]Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT understands, too. AI Open 5: 208-215 (2024) - [j131]Wei Xu, Jie Tang, Ka Fai Cedric Yiu, Jian-Wen Peng:
An Efficient Global Optimal Method for Cardinality Constrained Portfolio Optimization. INFORMS J. Comput. 36(2): 690-704 (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) - [c334]Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. AAAI 2024: 9269-9277 - [c333]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 - [c332]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 - [c331]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 - [c330]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 - [c329]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 - [c328]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 - [c327]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 - [c326]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 - [c325]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 - [c324]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 - [c323]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 - [c322]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 - [c321]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 - [c320]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 - [c319]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 - [c318]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 - [c317]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 - [c316]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 - [c315]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 - [c314]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 - [c313]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 - [c312]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 - [c311]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 - [c310]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 - [c309]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 - [c308]Jie Tang, Yuxiao Dong, Michalis Vazirgiannis:
Generative AI Day. KDD 2024: 6699-6700 - [c307]Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie:
The First Workshop on AI Behavioral Science. KDD 2024: 6724-6725 - [c306]Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang:
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR 2024: 3062-3064 - [c305]Junlin Huang, Huabing Lu, Jie Tang, Nan Zhao, Zhaoyuan Shi, Xianbin Wang:
NOMA Assisted Semi-Grant-Free Transmission in UAV Networks with Multi-User Scheduling. VTC Spring 2024: 1-5 - [c304]Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang:
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM 2024: 1206-1207 - [c303]Bo Zhang, Jie Tang:
Challenges Toward AGI and Its Impact to the Web. WWW 2024: 4 - [c302]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 - [c301]Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang:
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. WWW 2024: 4216-4226 - [i174]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) - [i173]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) - [i172]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) - [i171]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) - [i170]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) - [i169]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient and Exact Optimization of Language Model Alignment. CoRR abs/2402.00856 (2024) - [i168]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) - [i167]Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. CoRR abs/2402.11855 (2024) - [i166]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) - [i165]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) - [i164]Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang:
PST-Bench: Tracing and Benchmarking the Source of Publications. CoRR abs/2402.16009 (2024) - [i163]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) - [i162]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) - [i161]Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang:
AutoRE: Document-Level Relation Extraction with Large Language Models. CoRR abs/2403.14888 (2024) - [i160]Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang:
Understanding Emergent Abilities of Language Models from the Loss Perspective. CoRR abs/2403.15796 (2024) - [i159]Xiaokang Zhang, Jing Zhang, Zeyao Ma, Yang Li, Bohan Zhang, 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. CoRR abs/2403.19318 (2024) - [i158]Xiao Liu, Xixuan Song, Yuxiao Dong, Jie Tang:
Extensive Self-Contrast Enables Feedback-Free Language Model Alignment. CoRR abs/2404.00604 (2024) - [i157]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) - [i156]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) - [i155]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) - [i154]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. CoRR abs/2404.06742 (2024) - [i153]Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang:
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. CoRR abs/2404.08322 (2024) - [i152]Xu Feng, Wenjian Yu, Yuyang Xie, Jie Tang:
Algorithm xxx: Faster Randomized SVD with Dynamic Shifts. CoRR abs/2404.09276 (2024) - [i151]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) - [i150]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) - [i149]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:
A Solution-based LLM API-using Methodology for Academic Information Seeking. CoRR abs/2405.15165 (2024) - [i148]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) - [i147]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) - [i146]Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song:
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. CoRR abs/2406.05347 (2024) - [i145]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) - [i144]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) - [i143]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) - [i142]Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang:
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation. CoRR abs/2406.14991 (2024) - [i141]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) - [i140]Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang:
Benchmarking Complex Instruction-Following with Multiple Constraints Composition. CoRR abs/2407.03978 (2024) - [i139]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) - [i138]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) - [i137]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) - [i136]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) - [i135]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) - [i134]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) - [i133]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) - [i132]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) - [i131]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) - [i130]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) - [i129]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) - [i128]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) - [i127]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) - [i126]Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song:
Training Compute-Optimal Protein Language Models. CoRR abs/2411.02142 (2024) - [i125]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) - [i124]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) - [i123]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) - 2023
- [j125]Bo Chen, Ziwei Xie, Jiezhong Qiu, Zhaofeng Ye, Jinbo Xu, Jie Tang:
Improved the heterodimer protein complex prediction with protein language models. Briefings Bioinform. 24(4) (2023) - [j124]Ye Li, Yuanzheng Hou, Li Xiaoyan, Qiongge Li, Jie Lu, Jie Tang:
Quantitative Validation of the Correlation Between Optimized Pyramidal Tract Delineation After Brain Shift Compensation and Direct Electrical Subcortical Stimulation During Brain Tumor Surgery. J. Imaging Inform. Medicine 36(5): 1974-1986 (2023) - [j123]Huan-jing Zhao, Pinde Rui, Jie Chen, Yanping Zhang, Yi Wang, Shu Zhao, Jie Tang:
HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving. Knowl. Based Syst. 264: 110343 (2023) - [j122]Alexandre Boulenger, Yanwen Luo, Chenhui Zhang, Chenyang Zhao, Yuanjing Gao, Mengsu Xiao, Qingli Zhu, Jie Tang:
Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images. Medical Biol. Eng. Comput. 61(2): 567-578 (2023) - [j121]Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun:
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5(3): 220-235 (2023) - [j120]Da Yin, Weng Lam Tam, Ming Ding, Jie Tang:
MRT: Tracing the Evolution of Scientific Publications. IEEE Trans. Knowl. Data Eng. 35(1): 711-724 (2023) - [j119]Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, Jie Tang:
Self-Supervised Learning: Generative or Contrastive. IEEE Trans. Knowl. Data Eng. 35(1): 857-876 (2023) - [j118]Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023) - [j117]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) - [j116]