Recurrent Neural Network for Text Classification with Multi-Task Learning
Pengfei Liu, Xipeng Qiu, Xuanjing Huang: Recurrent Neural Network for Text Classification with Multi-Task Learning. IJCAI 2016: 2873-2879
CV
Education
- B.S. in Computer Science, Fudan University, 1993
- Ph.D in Computer Science, Fudan University, 1998
Work experience
- Since 2006: Professor
- Fudan University
- 2008-2009: Visiting Scholar
- UMass Amherst
- 2001-2006: Associate Professor
- Fudan University
- 1998-2000: Lecturer
- Fudan University
Publications
Adversarial Multi-task Learning for Text Classification
Pengfei Liu, Xipeng Qiu, Xuanjing Huang: Adversarial Multi-task Learning for Text Classification. ACL (1) 2017: 1-10
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang: Adversarial Multi-Criteria Learning for Chinese Word Segmentation. ACL (1) 2017: 1193-1203
A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis
Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang: A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis. COLING 2018: 868-877
How to Fine-Tune BERT for Text Classification?
Chi Sun, Xipeng Qiu, Yige Xu, Xuanjing Huang: How to Fine-Tune BERT for Text Classification? CCL 2019: 194-206
A Lexicon-Based Graph Neural Network for Chinese NER
Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang: A Lexicon-Based Graph Neural Network for Chinese NER. EMNLP/IJCNLP (1) 2019: 1040-1050
FLAT: Chinese NER Using Flat-Lattice Transformer
Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang: FLAT: Chinese NER Using Flat-Lattice Transformer. ACL 2020: 6836-6842
Simplify the Usage of Lexicon in Chinese NER
Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei, Xuanjing Huang: Simplify the Usage of Lexicon in Chinese NER. ACL 2020: 5951-5960
Extractive Summarization as Text Matching
Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang: Extractive Summarization as Text Matching. ACL 2020: 6197-6208
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu, TianXiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang, Pre-trained Models for Natural Language Processing: A Survey, SCIENCE CHINA Technological Sciences (SCTS) , 2020, Vol. 63(10), pp. 1872–1897
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou: K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck
Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang: A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. COLING 2022: 1990-2000
Secrets of RLHF in Large Language Models Part I: PPO
Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang: Secrets of RLHF in Large Language Models Part I: PPO. CoRR abs/2307.04964 (2023)
自然语言处理导论
张奇、桂韬、黄萱菁：自然语言处理导论，电子工业出版社，2023
The Rise and Potential of Large Language Model Based Agents: A Survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huan, Tao Gui: The Rise and Potential of Large Language Model Based Agents: A Survey. CoRR abs/2309.07864 (2023)
大规模语言模型：从理论与实践
张奇、桂韬、郑锐、黄萱菁：大规模语言模型：从理论与实践，电子工业出版社，2023
MouSi: Poly-Visual-Expert Vision-Language Models
Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang: MouSi: Poly-Visual-Expert Vision-Language Models. CoRR abs/2401.17221 (2024)
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang: Secrets of RLHF in Large Language Models Part II: Reward Modeling. CoRR abs/2401.06080 (2024)
Talks
基于深度学习的智能社会媒体挖掘
Invited Talk at 2021年全球人工智能技术大会 “发展与挑战”智能媒体专题论坛, 杭州，中国
信息提取的鲁棒性问题
Invited talk at 北京智源大会自然语言处理论坛, 北京, 中国
Incorporating Dynamic Structures into Pre-trained Language Models
Invited Talk at Workshop on Dynamic Neural Networks, International Conference on Machine Learning, Baltimore, USA
人工智能的的可解释性分析–以自然语言处理为例
Invited Talk at 2022年中国多媒体大会, 贵阳，中国
自然语言处理与表示学习
特邀报告 at 智能教育前沿论坛, 华东师范大学,上海