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Zhengxiao Du
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2020 – today
- 2024
- [c10]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 - [c9]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 - [i15]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) - [i14]Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang:
Understanding Emergent Abilities of Language Models from the Loss Perspective. CoRR abs/2403.15796 (2024) - [i13]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) - [i12]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) - [i11]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) - 2023
- [j3]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) - [c8]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 - [c7]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 - [i10]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) - [i9]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) - [i8]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) - 2022
- [c6]Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang:
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. ACL (2) 2022: 61-68 - [c5]Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang:
GLM: General Language Model Pretraining with Autoregressive Blank Infilling. ACL (1) 2022: 320-335 - [i7]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, Peng Zhang, Yuxiao Dong, Jie Tang:
GLM-130B: An Open Bilingual Pre-trained Model. CoRR abs/2210.02414 (2022) - 2021
- [j2]Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen
, Xu Zou
, Zhilin Yang, Jie Tang:
WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. AI Open 2: 65-68 (2021) - [j1]Zhengxiao Du
, Jie Tang
, Yuhui Ding:
POLAR++: Active One-Shot Personalized Article Recommendation. IEEE Trans. Knowl. Data Eng. 33(6): 2709-2722 (2021) - [c4]Himank Yadav, Zhengxiao Du, Thorsten Joachims:
Policy-Gradient Training of Fair and Unbiased Ranking Functions. SIGIR 2021: 1044-1053 - [i6]Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang:
All NLP Tasks Are Generation Tasks: A General Pretraining Framework. CoRR abs/2103.10360 (2021) - [i5]Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT Understands, Too. CoRR abs/2103.10385 (2021) - [i4]Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang:
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. CoRR abs/2110.07602 (2021)
2010 – 2019
- 2019
- [c3]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. KDD 2019: 2895-2904 - [c2]Yifeng Zhao, Jie Tang, Zhengxiao Du:
EFCNN: A Restricted Convolutional Neural Network for Expert Finding. PAKDD (2) 2019: 96-107 - [i3]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. CoRR abs/1906.00391 (2019) - [i2]Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang:
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. CoRR abs/1906.05489 (2019) - [i1]Himank Yadav, Zhengxiao Du, Thorsten Joachims:
Fair Learning-to-Rank from Implicit Feedback. CoRR abs/1911.08054 (2019) - 2018
- [c1]Zhengxiao Du, Jie Tang, Yuhui Ding:
POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation. ECML/PKDD (2) 2018: 675-690
Coauthor Index
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