FDU at TREC 2007: Opinion Retrieval of Blog Track. - Qi Zhang 001; Bingqing Wang; Lide Wu; Xuanjing Huang 001 (TREC, 2007)

Domain Adaptation for Conditional Random Fields. - Qi Zhang 001; Xipeng Qiu; Xuanjing Huang 001; Lide Wu (AIRS, 2008)

Graph Mutual Reinforcement Based Bootstrapping. - Qi Zhang 001; Yaqian Zhou 001; Xuanjing Huang 001; Lide Wu (AIRS, 2008)

Sentiment Classification Using Supervised and Semi-Supervised Conditional Maximum Entropy Modeling. - Qi Zhang 001; Xuanjing Huang 001; Lide Wu (Int. J. Comput. Process. Orient. Lang., 2008)

Phrase Dependency Parsing for Opinion Mining. - Yuanbin Wu; Qi Zhang 001; Xuanjing Huang 001; Lide Wu (EMNLP, 2009)

Sparse higher order conditional random fields for improved sequence labeling. - Xian Qian; Xiaoqian Jiang; Qi Zhang 001; Xuanjing Huang 001; Lide Wu (ICML, 2009)

Template-independent wrapper for web forums. - Qi Zhang 001; Yang Shi; Xuanjing Huang 001; Lide Wu (SIGIR, 2009)

Mining product reviews based on shallow dependency parsing. - Qi Zhang 001; Yuanbin Wu; Tao Li 001; Mitsunori Ogihara; Joseph Johnson; Xuanjing Huang 001 (SIGIR, 2009)

Pseudo-Relevance Feedback Based on mRMR Criteria. - Yuanbin Wu; Qi Zhang 001; Yaqian Zhou 001; Xuanjing Huang 001 (AIRS, 2010)

2D Trie for Fast Parsing. - Xian Qian; Qi Zhang 001; Xuanjing Huang 001; Lide Wu (COLING, 2010)

Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks. - Xian Qian; Qi Zhang 001; Yaqian Zhou 001; Xuanjing Huang 001; Lide Wu (EMNLP, 2010)

Bagging to find better expansion words. - Bingqing Wang; Yaqian Zhou 001; Xipeng Qiu; Qi Zhang 001; Xuanjing Huang 001 (NLPKE, 2010)

Efficient partial-duplicate detection based on sequence matching. - Qi Zhang 001; Yue Zhang 004; Haomin Yu; Xuanjing Huang 001 (SIGIR, 2010)

Selective recrawling for object-level vertical search. - Yaqian Zhou 001; Mengjing Jiang; Qi Zhang 001; Xuanjing Huang 001; Lide Wu (WWW, 2010)

Learning to Extract Coherent Keyphrases from Online News. - Zhuoye Ding; Qi Zhang 001; Xuanjing Huang 001 (AIRS, 2011)

Structural Opinion Mining for Graph-based Sentiment Representation. - Yuanbin Wu; Qi Zhang 001; Xuanjing Huang 001; Lide Wu (EMNLP, 2011)

Keyphrase Extraction from Online News Using Binary Integer Programming. - Zhuoye Ding; Qi Zhang 001; Xuanjing Huang 001 (IJCNLP, 2011)

Efficient Near-Duplicate Detection for Q&A Forum. - Yan Wu; Qi Zhang 001; Xuanjing Huang 001 (IJCNLP, 2011)

Learning the weight of the query term from the relevance feedback. - Bingqing Wang; Yaqian Zhou 001; Qi Zhang 001; Xuanjing Huang 001 (NLPKE, 2011)

Opinion Mining with Sentiment Graph. - Qi Zhang 001; Yuanbin Wu; Yan Wu; Xuanjing Huang 001 (Web Intelligence, 2011)

Selecting expansion terms as a set via integer linear programming. - Qi Zhang 001; Yan Wu; Xuanjing Huang 001 (CIKM, 2012)

Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model. - Zhuoye Ding; Qi Zhang 001; Xuanjing Huang 001 (COLING (Posters), 2012)

Learning hash codes for efficient content reuse detection. - Qi Zhang 001; Yan Wu; Zhuoye Ding; Xuanjing Huang 001 (SIGIR, 2012)

FudanNLP: A Toolkit for Chinese Natural Language Processing. - Xipeng Qiu; Qi Zhang 001; Xuanjing Huang 001 (ACL (Conference System Demonstrations), 2013)

Map search via a factor graph model. - Qi Zhang 001; Jihua Kang; Yeyun Gong; Huan Chen; Yaqian Zhou 001; Xuanjing Huang 001 (CIKM, 2013)

A pattern-based selective recrawling approach for object-level vertical search. - Yaqian Zhou 001; Qi Zhang 001; Xuanjing Huang 001; Lide Wu (CIKM, 2013)

Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic. - Qi Zhang 001; Jin Qian; Huan Chen; Jihua Kang; Xuanjing Huang 001 (EMNLP, 2013)

Learning Topical Translation Model for Microblog Hashtag Suggestion. - Zhuoye Ding; Xipeng Qiu; Qi Zhang 001; Xuanjing Huang 001 (IJCAI, 2013)

Chinese Named Entity Abbreviation Generation Using First-Order Logic. - Huan Chen; Qi Zhang 001; Jin Qian; Xuanjing Huang 001 (IJCNLP, 2013)

Detecting Spammers in Community Question Answering. - Zhuoye Ding; Yeyun Gong; Yaqian Zhou 001; Qi Zhang 001; Xuanjing Huang 001 (IJCNLP, 2013)

Understanding the Semantic Intent of Natural Language Query. - Juan Xu; Qi Zhang 001; Xuanjing Huang 001 (IJCNLP, 2013)

A Generative Model for Identifying Target Companies of Microblogs. - Yeyun Gong; Yaqian Zhou 001; Ya Guo; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2014)

Time-aware Personalized Hashtag Recommendation on Social Media. - Qi Zhang 001; Yeyun Gong; Xuyang Sun; Xuanjing Huang 001 (COLING, 2014)

Continuous word embeddings for detecting local text reuses at the semantic level. - Qi Zhang 001; Jihua Kang; Jin Qian; Xuanjing Huang 001 (SIGIR, 2014)

PatentLine: analyzing technology evolution on multi-view patent graphs. - Longhui Zhang; Lei Li 001; Tao Li 001; Qi Zhang 001 (SIGIR, 2014)

Chinese-English mixed text normalization. - Qi Zhang 001; Huan Chen; Xuanjing Huang 001 (WSDM, 2014)

Retweet Behavior Prediction Using Hierarchical Dirichlet Process. - Qi Zhang 001; Yeyun Gong; Ya Guo; Xuanjing Huang 001 (AAAI, 2015)

Who Will You "@"? - Yeyun Gong; Qi Zhang 001; Xuyang Sun; Xuanjing Huang 001 (CIKM, 2015)

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags. - Yeyun Gong; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2015)

Personalized Hashtag Suggestion for Microblogs. - Juan Xu; Qi Zhang 001; Xuanjing Huang 001 (SMP, 2015)

Discourse Relations Detection via a Mixed Generative-Discriminative Framework. - Jifan Chen; Qi Zhang 001; Pengfei Liu 003; Xuanjing Huang 001 (AAAI, 2016)

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network. - Jifan Chen; Qi Zhang 001; Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 2016)

Incorporate Group Information to Enhance Network Embedding. - Jifan Chen; Qi Zhang 001; Xuanjing Huang 001 (CIKM, 2016)

Retweet Prediction with Attention-based Deep Neural Network. - Qi Zhang 001; Yeyun Gong; Jindou Wu; Haoran Huang; Xuanjing Huang 001 (CIKM, 2016)

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention. - Haoran Huang; Qi Zhang 001; Yeyun Gong; Xuanjing Huang 001 (COLING, 2016)

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary. - Qi Zhang 001; Jin Qian; Ya Guo; Yaqian Zhou 001; Xuanjing Huang 001 (EMNLP, 2016)

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter. - Qi Zhang 001; Yang Wang; Yeyun Gong; Xuanjing Huang 001 (EMNLP, 2016)

Hashtag Recommendation Using Attention-Based Convolutional Neural Network. - Yuyun Gong; Qi Zhang 001 (IJCAI, 2016)

Learning Word Embeddings from Intrinsic and Extrinsic Views. - Jifan Chen; Kan Chen; Xipeng Qiu; Qi Zhang 001; Xuanjing Huang 001; Zheng Zhang 001 (CoRR, 2016)

A Mixed Generative-Discriminative Based Hashing Method. - Qi Zhang 001; Yang Wang; Jin Qian; Xuanjing Huang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network. - Changzhi Sun; Yuanbin Wu; Man Lan; Shiliang Sun; Qi Zhang 001 (EACL (1), 2017)

Part-of-Speech Tagging for Twitter with Adversarial Neural Networks. - Tao Gui; Qi Zhang 001; Haoran Huang; Minlong Peng; Xuanjing Huang 001 (EMNLP, 2017)

A Mixed Generative-Discriminative Based Hashing Method. - Qi Zhang 001; Yang Wang; Jin Qian; Binbin Deng; Xuanjing Huang 001 (ICDE, 2017)

Mention Recommendation for Twitter with End-to-end Memory Network. - Haoran Huang; Qi Zhang 001; Xuanjing Huang 001 (IJCAI, 2017)

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network. - Qi Zhang 001; Jiawen Wang; Haoran Huang; Xuanjing Huang 001; Yeyun Gong (IJCAI, 2017)

A Learning Error Analysis for Structured Prediction with Approximate Inference. - Yuanbin Wu; Man Lan; Shiliang Sun; Qi Zhang 001; Xuanjing Huang 001 (NIPS, 2017)

Hierarchical Dirichlet Processes with Social Influence. - Jin Qian; Yeyun Gong; Qi Zhang 001; Xuanjing Huang 001 (NLPCC, 2017)

Predicting Which Topics You Will Join in the Future on Social Media. - Haoran Huang; Qi Zhang 001; Jindou Wu; Xuanjing Huang 001 (SIGIR, 2017)

Phrase-based hashtag recommendation for microblog posts. - Yeyun Gong; Qi Zhang 001; Xiaoying Han; Xuanjing Huang 001 (Sci. China Inf. Sci., 2017)

Adaptive Co-attention Network for Named Entity Recognition in Tweets. - Qi Zhang 001; Jinlan Fu; Xiaoyu Liu; Xuanjing Huang 001 (AAAI, 2018)

Neural Networks Incorporating Dictionaries for Chinese Word Segmentation. - Qi Zhang 001; Xiaoyu Liu; Jinlan Fu (AAAI, 2018)

Cross-Domain Sentiment Classification with Target Domain Specific Information. - Minlong Peng; Qi Zhang 001; Yu-Gang Jiang 001; Xuanjing Huang 001 (ACL (1), 2018)

Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem. - Xiaoyu Liu; Shunda Pan; Qi Zhang 001; Yu-Gang Jiang 001; Xuanjing Huang 001 (CIKM, 2018)

ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval. - Qingchun Bai; Qi Zhang 001; Qinmin Hu; Liang He 001 (CLEF (Working Notes), 2018)

ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. - Jie Zhou 015; Qi Zhang 001; Qinmin Hu; Liang He 001 (CLEF (Working Notes), 2018)

Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model. - Lu Ji; Zhongyu Wei; Xiangkun Hu; Yang Liu 004; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2018)

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis. - Yicheng Zou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2018)

Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging. - Tao Gui; Qi Zhang 001; Jingjing Gong; Minlong Peng; Di Liang; Keyu Ding; Xuanjing Huang 001 (EMNLP, 2018)

Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation. - Lujun Zhao; Qi Zhang 001; Peng Wang 095; Xiaoyu Liu (IJCAI, 2018)

Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network. - Renfeng Ma; Qi Zhang 001; Jiawen Wang; Lizhen Cui; Xuanjing Huang 001 (SIGIR, 2018)

Two Step Joint Model for Drug Drug Interaction Extraction. - Siliang Tang; Qi Zhang 001; Tianpeng Zheng; Mengdi Zhou; Zhan Chen; Lixing Shen; Xiang Ren 001; Yueting Zhuang; Shiliang Pu; Fei Wu 001 (TAC, 2018)

Hashtag recommendation for multimodal microblog posts. - Yeyun Gong; Qi Zhang 001; Xuanjing Huang 001 (Neurocomputing, 2018)

Cooperative Multimodal Approach to Depression Detection in Twitter. - Tao Gui; Liang Zhu; Qi Zhang 001; Minlong Peng; Xu Zhou; Keyu Ding; Zhigang Chen (AAAI, 2019)

Long Short-Term Memory with Dynamic Skip Connections. - Tao Gui; Qi Zhang 001; Lujun Zhao; Yaosong Lin; Minlong Peng; Jingjing Gong; Xuanjing Huang 001 (AAAI, 2019)

Trainable Undersampling for Class-Imbalance Learning. - Minlong Peng; Qi Zhang 001; Xiaoyu Xing; Tao Gui; Xuanjing Huang 001; Yu-Gang Jiang 001; Keyu Ding; Zhigang Chen (AAAI, 2019)

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. - Minlong Peng; Xiaoyu Xing; Qi Zhang 001; Jinlan Fu; Xuanjing Huang 001 (ACL (1), 2019)

Mining User Profiles from Query Log. - Minlong Peng; Jun Zhao 019; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jinlan Fu (CCIR, 2019)

Depression Detection on Social Media with Reinforcement Learning. - Tao Gui; Qi Zhang 001; Liang Zhu; Xu Zhou; Minlong Peng; Xuanjing Huang 001 (CCL, 2019)

Modeling the Long-Term Post History for Personalized Hashtag Recommendation. - Minlong Peng; Yaosong Lin; Lanjun Zeng; Tao Gui; Qi Zhang 001 (CCL, 2019)

A Lexicon-Based Graph Neural Network for Chinese NER. - Tao Gui; Yicheng Zou; Qi Zhang 001; Minlong Peng; Jinlan Fu; Zhongyu Wei; Xuanjing Huang 001 (EMNLP/IJCNLP (1), 2019)

Asynchronous Deep Interaction Network for Natural Language Inference. - Di Liang; Fubao Zhang; Qi Zhang 001; Xuanjing Huang 001 (EMNLP/IJCNLP (1), 2019)

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. - Kaisong Song; Lidong Bing; Wei Gao 001; Jun Lin; Lujun Zhao; Jiancheng Wang; Changlong Sun; Xiaozhong Liu; Qi Zhang 001 (EMNLP/IJCNLP (1), 2019)

CNN-Based Chinese NER with Lexicon Rethinking. - Tao Gui; Ruotian Ma; Qi Zhang 001; Lujun Zhao; Yu-Gang Jiang 001; Xuanjing Huang 001 (IJCAI, 2019)

Learning Task-Specific Representation for Novel Words in Sequence Labeling. - Minlong Peng; Qi Zhang 001; Xiaoyu Xing; Tao Gui; Jinlan Fu; Xuanjing Huang 001 (IJCAI, 2019)

Knowledge Adaptive Neural Network for Natural Language Inference. - Qi Zhang 001; Yan Yang 008; Chengcai Chen; Liang He 001; Zhou Yu 005 (IJCNN, 2019)

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. - Qi Zhang 001; Siliang Tang; Xiang Ren 001; Fei Wu 001; Shiliang Pu; Yueting Zhuang (NAACL-HLT (1), 2019)

Model the Long-Term Post History for Hashtag Recommendation. - Minlong Peng; Qiyuan Bian; Qi Zhang 001; Tao Gui; Jinlan Fu; Lanjun Zeng; Xuanjing Huang 001 (NLPCC (1), 2019)

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. - Tao Gui; Peng Liu; Qi Zhang 001; Liang Zhu; Minlong Peng; Yunhua Zhou; Xuanjing Huang 001 (SIGIR, 2019)

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection. - Di Liang; Fubao Zhang; Weidong Zhang; Qi Zhang 001; Jinlan Fu; Minlong Peng; Tao Gui; Xuanjing Huang 001 (SIGIR, 2019)

Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model. - Renfeng Ma; Xiangkun Hu; Qi Zhang 001; Xuanjing Huang 001; Yu-Gang Jiang 001 (SIGIR, 2019)

Review Response Generation in E-Commerce Platforms with External Product Information. - Lujun Zhao; Kaisong Song; Changlong Sun; Qi Zhang 001; Xuanjing Huang 001; Xiaozhong Liu (WWW, 2019)

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network. - Jinlan Fu; Qi Zhang 001; Jifan Chen; Minlong Peng; Tao Gui; Xipeng Qiu; Xuanjing Huang 001 (Sci. China Inf. Sci., 2019)

Reformulating natural language queries using sequence-to-sequence models. - Xiaoyu Liu; Shunda Pan; Qi Zhang 001; Yu-Gang Jiang 001; Xuanjing Huang 001 (Sci. China Inf. Sci., 2019)

Address Instance-level Label Prediction in Multiple Instance Learning. - Minlong Peng; Qi Zhang 001 (CoRR, 2019)

Simplify the Usage of Lexicon in Chinese NER. - Minlong Peng; Ruotian Ma; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2019)

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis. - Minlong Peng; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2019)

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication. - Ruize Wang; Zhongyu Wei; Piji Li; Haijun Shan; Ji Zhang 011; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2019)

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features. - Tao Gui; Lizhi Qing; Qi Zhang 001; Jiacheng Ye; Hang Yan 001; Zichu Fei; Xuanjing Huang 001 (CoRR, 2019)

Knowledge Graph Construction and Applications for Web Search and Beyond. - Peilu Wang; Hao Jiang; Jingfang Xu; Qi Zhang 001 (Data Intell., 2019)

A Neural Semantic Parser for Math Problems Incorporating Multi-Sentence Information. - Ruiyong Sun; Yijia Zhao; Qi Zhang 001; Keyu Ding; Shijin Wang 001; Cui Wei (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

Sequence Labeling With Deep Gated Dual Path CNN. - Lujun Zhao; Xipeng Qiu; Qi Zhang 001; Xuanjing Huang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Visual Content Recognition by Exploiting Semantic Feature Map with Attention and Multi-task Learning. - Rui-Wei Zhao; Qi Zhang 001; Zuxuan Wu; Jianguo Li; Yu-Gang Jiang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. - Jinlan Fu; Pengfei Liu 003; Qi Zhang 001 (AAAI, 2020)

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features. - Tao Gui; Lizhi Qing; Qi Zhang 001; Jiacheng Ye; Hang Yan 001; Zichu Fei; Xuanjing Huang 001 (AAAI, 2020)

Storytelling from an Image Stream Using Scene Graphs. - Ruize Wang; Zhongyu Wei; Piji Li; Qi Zhang 001; Xuanjing Huang 001 (AAAI, 2020)

Simplify the Usage of Lexicon in Chinese NER. - Ruotian Ma; Minlong Peng; Qi Zhang 001; Zhongyu Wei; Xuanjing Huang 001 (ACL, 2020)

Modeling Evolution of Message Interaction for Rumor Resolution. - Lei Chen; Zhongyu Wei; Jing Li 049; Baohua Zhou; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2020)

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis. - Minlong Peng; Qi Zhang 001 (COLING, 2020)

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication. - Ruize Wang; Zhongyu Wei; Ying Cheng 005; Piji Li; Haijun Shan; Ji Zhang 011; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2020)

RethinkCWS: Is Chinese Word Segmentation a Solved Task? - Jinlan Fu; Pengfei Liu 003; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (1), 2020)

Uncertainty-Aware Label Refinement for Sequence Labeling. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Zhengyan Li; Zichu Fei; Yeyun Gong; Xuanjing Huang 001 (EMNLP (1), 2020)

Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons. - Minlong Peng; Ruotian Ma; Qi Zhang 001; Lujun Zhao; Mengxi Wei; Changlong Sun; Xuanjing Huang 001 (EMNLP (Findings), 2020)

PathQG: Neural Question Generation from Facts. - Siyuan Wang; Zhongyu Wei; Zhihao Fan; Zengfeng Huang; Weijian Sun; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (1), 2020)

A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving. - Qinzhuo Wu; Qi Zhang 001; Jinlan Fu; Xuanjing Huang 001 (EMNLP (1), 2020)

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. - Xiaoyu Xing; Zhijing Jin 001; Di Jin; Bingning Wang; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (1), 2020)

Leveraging Document-Level Label Consistency for Named Entity Recognition. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Yaqian Zhou 001; Yeyun Gong; Xuanjing Huang 001 (IJCAI, 2020)

Learning to Generate Representations for Novel Words: Mimic the OOV Situation in Training. - Xiaoyu Xing; Minlong Peng; Qi Zhang 001; Qin Liu 010; Xuanjing Huang 001 (NLPCC (1), 2020)

Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering. - Jinlan Fu; Yi Li; Qi Zhang 001; Qinzhuo Wu; Renfeng Ma; Xuanjing Huang 001; Yu-Gang Jiang 001 (WSDM, 2020)

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. - Jinlan Fu; Pengfei Liu 003; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2020)

FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. - Jieming Zhu; Jinyang Liu 002; Shuai Yang; Qi Zhang 001; Xiuqiang He 001 (CoRR, 2020)

SenSeNet: Neural Keyphrase Generation with Document Structure. - Yichao Luo; Zhengyan Li; Bingning Wang; Xiaoyu Xing; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2020)

Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. - Yicheng Zou; Jun Lin; Lujun Zhao; Yangyang Kang; Zhuoren Jiang; Changlong Sun; Qi Zhang 001; Xuanjing Huang 001; Xiaozhong Liu (AAAI, 2021)

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. - Yicheng Zou; Lujun Zhao; Yangyang Kang; Jun Lin; Minlong Peng; Zhuoren Jiang; Changlong Sun; Qi Zhang 001; Xuanjing Huang 001; Xiaozhong Liu (AAAI, 2021)

SENT: Sentence-level Distant Relation Extraction via Negative Training. - Ruotian Ma; Tao Gui; Linyang Li; Qi Zhang 001; Xuanjing Huang 001; Yaqian Zhou 001 (ACL/IJCNLP (1), 2021)

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. - Xiao Wang 001; Qin Liu 010; Tao Gui; Qi Zhang 001; Yicheng Zou; Xin Zhou 012; Jiacheng Ye; Yongxin Zhang; Rui Zheng; Zexiong Pang; Qinzhuo Wu; Zhengyan Li; et al. (ACL (demo), 2021)

Math Word Problem Solving with Explicit Numerical Values. - Qinzhuo Wu; Qi Zhang 001; Zhongyu Wei; Xuanjing Huang 001 (ACL/IJCNLP (1), 2021)

One2Set: Generating Diverse Keyphrases as a Set. - Jiacheng Ye; Tao Gui; Yichao Luo; Yige Xu 001; Qi Zhang 001 (ACL/IJCNLP (1), 2021)

Open Benchmarking for Click-Through Rate Prediction. - Jieming Zhu; Jinyang Liu 002; Shuai Yang; Qi Zhang 001; Xiuqiang He 001 (CIKM, 2021)

Clustering-Augmented Multi-instance Learning for Neural Relation Extraction. - Qi Zhang 001; Siliang Tang; Jinquan Sun; Yu Wang 108; Lei Zhang 006 (ECIR (2), 2021)

Iterative GNN-based Decoder for Question Generation. - Zichu Fei; Qi Zhang 001; Yaqian Zhou 001 (EMNLP (1), 2021)

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. - Zongyi Li; Jianhan Xu; Jiehang Zeng; Linyang Li; Xiaoqing Zheng; Qi Zhang 001; Kai-Wei Chang; Cho-Jui Hsieh (EMNLP (1), 2021)

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training. - Zhengyan Li; Yicheng Zou; Chong Zhang; Qi Zhang 001; Zhongyu Wei (EMNLP (1), 2021)

Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning. - Yichao Luo; Yige Xu 001; Jiacheng Ye; Xipeng Qiu; Qi Zhang 001 (EMNLP (Findings), 2021)

An Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving. - Qinzhuo Wu; Qi Zhang 001; Zhongyu Wei (EMNLP (Findings), 2021)

A Partition Filter Network for Joint Entity and Relation Extraction. - Zhiheng Yan; Chong Zhang; Jinlan Fu; Qi Zhang 001; Zhongyu Wei (EMNLP (1), 2021)

Heterogeneous Graph Neural Networks for Keyphrase Generation. - Jiacheng Ye; Ruijian Cai; Tao Gui; Qi Zhang 001 (EMNLP (1), 2021)

A Relation-Oriented Clustering Method for Open Relation Extraction. - Jun Zhao 019; Tao Gui; Qi Zhang 001; Yaqian Zhou 001 (EMNLP (1), 2021)

Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems. - Yicheng Zou; Zhihua Liu; Xingwu Hu; Qi Zhang 001 (EMNLP (1), 2021)

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining. - Yicheng Zou; Bolin Zhu; Xingwu Hu; Tao Gui; Qi Zhang 001 (EMNLP (1), 2021)

Applications of Machine Learning Techniques in Genetic Circuit Design. - Jiajie Zhu; Qi Zhang 001; Babak Forouraghi; Xiao Wang 035 (ICMLC, 2021)

UNBERT: User-News Matching BERT for News Recommendation. - Qi Zhang 001; Jingjie Li; Qinglin Jia; Chuyuan Wang; Jieming Zhu; Zhaowei Wang 002; Xiuqiang He 001 (IJCAI, 2021)

Why Do We Click: Visual Impression-aware News Recommendation. - Jiahao Xun; Shengyu Zhang 001; Zhou Zhao 001; Jieming Zhu; Qi Zhang 001; Jingjie Li; Xiuqiang He 001; Xiaofei He 001; Tat-Seng Chua; Fei Wu 001 (ACM Multimedia, 2021)

Larger-Context Tagging: When and Why Does It Work? - Jinlan Fu; Liangjing Feng; Qi Zhang 001; Xuanjing Huang 001; Pengfei Liu 003 (NAACL-HLT, 2021)

Discrete Argument Representation Learning for Interactive Argument Pair Identification. - Lu Ji; Zhongyu Wei; Jing Li 049; Qi Zhang 001; Xuanjing Huang 001 (NAACL-HLT, 2021)

Searching Effective Transformer for Seq2Seq Keyphrase Generation. - Yige Xu 001; Yichao Luo; Yicheng Zhou; Zhengyan Li; Qi Zhang 001; Xipeng Qiu; Xuanjing Huang 001 (NLPCC (2), 2021)

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. - Qinglin Jia; Jingjie Li; Qi Zhang 001; Xiuqiang He 001; Jieming Zhu (SIGIR, 2021)

AMM: Attentive Multi-field Matching for News Recommendation. - Qi Zhang 001; Qinglin Jia; Chuyuan Wang; Jingjie Li; Zhaowei Wang 002; Xiuqiang He 001 (SIGIR, 2021)

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure. - Lu Ji; Jing Li 049; Zhongyu Wei; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2021)

Template-free Prompt Tuning for Few-shot NER. - Ruotian Ma; Xin Zhou 012; Tao Gui; Yiding Tan; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2021)

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models. - Xin Zhou 012; Ruotian Ma; Tao Gui; Yiding Tan; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2021)

Information retrieval: a view from the Chinese IR community. - Zhumin Chen; Xueqi Cheng; Shoubin Dong; Zhicheng Dou; Jiafeng Guo; Xuanjing Huang 001; Yanyan Lan; Chenliang Li; Ru Li; Tie-Yan Liu; Yiqun Liu 001; Jun Ma 001; et al. (Frontiers Comput. Sci., 2021)

Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation. - Renfeng Ma; Xipeng Qiu; Qi Zhang 001; Xiangkun Hu; Yu-Gang Jiang 001; Xuanjing Huang 001 (IEEE Trans. Knowl. Data Eng., 2021)

CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. - Zichu Fei; Qi Zhang 001; Tao Gui; Di Liang; Sirui Wang; Wei Wu 014; Xuanjing Huang 001 (ACL (1), 2022)

Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning. - Qin Liu 010; Rui Zheng; Bao Rong; Jingyi Liu; Zhihua Liu; Zhanzhan Cheng; Liang Qiao 001; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2022)

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. - Xiao Wang 001; Shihan Dou; Limao Xiong; Yicheng Zou; Qi Zhang 001; Tao Gui; Liang Qiao 001; Zhanzhan Cheng; Xuanjing Huang 001 (ACL (1), 2022)

Robust Lottery Tickets for Pre-trained Language Models. - Rui Zheng; Bao Rong; Yuhao Zhou; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2022)

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents. - Yicheng Zou; Hongwei Liu; Tao Gui; Junzhe Wang; Qi Zhang 001; Meng Tang; Haixiang Li; Daniel Wang 003 (ACL (Findings), 2022)

An Exploration of Prompt-Based Zero-Shot Relation Extraction Method. - Jun Zhao 019; Yuan Hu; Nuo Xu; Tao Gui; Qi Zhang 001; Yunwen Chen; Xiang Gao 017 (CCL, 2022)

Abstains from Prediction: Towards Robust Relation Extraction in Real World. - Jun Zhao 019; Yongxin Zhang; Nuo Xu; Tao Gui; Qi Zhang 001; Yunwen Chen; Xiang Gao 017 (CCL, 2022)

A Progressive Framework for Role-Aware Rumor Resolution. - Lei Chen 082; Guanying Li; Zhongyu Wei; Yang Yang 009; Baohua Zhou; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2022)

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. - Shihan Dou; Rui Zheng; Ting Wu; Songyang Gao; Junjie Shan; Qi Zhang 001; Yueming Wu 001; Xuanjing Huang 001 (COLING, 2022)

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases. - Zichu Fei; Xin Zhou 012; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2022)

A Structure-Aware Argument Encoder for Literature Discourse Analysis. - Yinzi Li; Wei Chen 088; Zhongyu Wei; Yujun Huang; Chujun Wang; Siyuan Wang; Qi Zhang 001; Xuanjing Huang 001; Libo Wu (COLING, 2022)

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering. - Siyuan Wang; Zhongyu Wei; Zhihao Fan; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2022)

Causal Intervention Improves Implicit Sentiment Analysis. - Siyin Wang; Jie Zhou 015; Changzhi Sun; Junjie Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2022)

Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER. - Jun Zhao 019; Xin Zhao; WenYu Zhan; Tao Gui; Qi Zhang 001; Liang Qiao 001; Zhanzhan Cheng; Shiliang Pu (COLING, 2022)

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack. - Rui Zheng; Rong Bao; Qin Liu 010; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Rui Xie 005; Wei Wu 014 (COLING, 2022)

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. - Xin Zhou 012; Ruotian Ma; Yicheng Zou; Xuanting Chen; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Rui Xie 005; Wei Wu 014 (COLING, 2022)

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. - Jie Zhou 015; Qi Zhang 001; Qin Chen 001; Liang He 001; Xuanjing Huang 001 (COLING, 2022)

ProofInfer: Generating Proof via Iterative Hierarchical Inference. - Zichu Fei; Qi Zhang 001; Xin Zhou 012; Tao Gui; Xuanjing Huang 001 (EMNLP, 2022)

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. - Songyang Gao; Shihan Dou; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2022)

Efficient Adversarial Training with Robust Early-Bird Tickets. - Zhiheng Xi; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2022)

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? - Ningyu Xu; Tao Gui; Ruotian Ma; Qi Zhang 001; Jingting Ye; Menghan Zhang; Xuanjing Huang 001 (EMNLP, 2022)

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. - Xin Zhou 012; Jinzhu Lu; Tao Gui; Ruotian Ma; Zichu Fei; Yuran Wang; Yong Ding; Yibo Cheung; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2022)

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (IJCNN, 2022)

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. - Yichao Wang 002; Huifeng Guo; Bo Chen 023; Weiwen Liu; Zhirong Liu; Qi Zhang 001; Zhicheng He 001; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Zhenhua Dong; Ruiming Tang (KDD, 2022)

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. - Shifu Yan; Caihua Shan; Wenyi Yang; Bixiong Xu; Dongsheng Li 002; Lili Qiu; Jie Tong; Qi Zhang 001 (KDD, 2022)

Template-free Prompt Tuning for Few-shot NER. - Ruotian Ma; Xin Zhou 012; Tao Gui; Yiding Tan; Linyang Li; Qi Zhang 001; Xuanjing Huang 001 (NAACL-HLT, 2022)

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (SemEval@NAACL, 2022)

Enhancing Event-Level Sentiment Analysis with Structured Arguments. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Liang He 001 (SIGIR, 2022)

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. - Yi Li; Jieming Zhu; Weiwen Liu; Liangcai Su; Guohao Cai; Qi Zhang 001; Ruiming Tang; Xi Xiao; Xiuqiang He 001 (WWW (Companion Volume), 2022)

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. - Shihan Dou; Rui Zheng; Ting Wu; Songyang Gao; Qi Zhang 001; Yueming Wu 001; Xuanjing Huang 001 (CoRR, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Denvy Deng; Qi Zhang 001; et al. (CoRR, 2022)

Enhancing Event-Level Sentiment Analysis with Structured Arguments. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qinchun Bai; Liang He 001 (CoRR, 2022)

Searching for Optimal Subword Tokenization in Cross-domain NER. - Ruotian Ma; Yiding Tan; Xin Zhou 012; Xuanting Chen; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001 (CoRR, 2022)

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Lin Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2022)

Robust Lottery Tickets for Pre-trained Language Models. - Rui Zheng; Rong Bao; Yuhao Zhou; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2022)

Sentiment-aware multimodal pre-training for multimodal sentiment analysis. - Junjie Ye; Jie Zhou 015; Junfeng Tian; Rui Wang 005; Jingyi Zhou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (Knowl. Based Syst., 2022)

Automatic Math Word Problem Generation With Topic-Expression Co-Attention Mechanism and Reinforcement Learning. - Qinzhuo Wu; Qi Zhang 001; Xuanjing Huang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Uncertainty-Aware Sequence Labeling. - Jiacheng Ye; Xiang Zhou; Xiaoqing Zheng; Tao Gui; Qi Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

CASN: Class-Aware Score Network for Textual Adversarial Detection. - Rong Bao; Rui Zheng; Liang Ding 006; Qi Zhang 001; Dacheng Tao (ACL (1), 2023)

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. - Songyang Gao; Shihan Dou; Yan Liu 002; Xiao Wang 001; Qi Zhang 001; Zhongyu Wei; Jin Ma 003; Ying Shan (ACL (1), 2023)

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. - Songyang Gao; Shihan Dou; Qi Zhang 001; Xuanjing Huang 001; Jin Ma 003; Ying Shan (ACL (Findings), 2023)

Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training. - Zejun Li; Zhihao Fan; Jingjing Chen 001; Qi Zhang 001; Xuanjing Huang 001; Zhongyu Wei (ACL (1), 2023)

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Zhang Lin; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (1), 2023)

Coarse-to-fine Few-shot Learning for Named Entity Recognition. - Ruotian Ma; Zhang Lin; Xuanting Chen; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (Findings), 2023)

UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language. - Xinyi Mou; Zhongyu Wei; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2023)

Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs. - Siyuan Wang; Zhongyu Wei; Meng Han; Zhihao Fan; Haijun Shan; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2023)

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. - Xiao Wang; Weikang Zhou; Qi Zhang 001; Jie Zhou; Songyang Gao; Junzhe Wang; Menghan Zhang; Xiang Gao 017; Yunwen Chen; Tao Gui (ACL (Findings), 2023)

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. - Ting Wu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2023)

Connectivity Patterns are Task Embeddings. - Zhiheng Xi; Rui Zheng; Yuansen Zhang; Xuanjing Huang 001; Zhongyu Wei; Minlong Peng; Mingming Sun 001; Qi Zhang 001; Tao Gui (ACL (Findings), 2023)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 012; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (ACL (Findings), 2023)

Actively Supervised Clustering for Open Relation Extraction. - Jun Zhao 019; Yongxin Zhang; Qi Zhang 001; Tao Gui; Zhongyu Wei; Minlong Peng; Mingming Sun 001 (ACL (1), 2023)

Open Set Relation Extraction via Unknown-Aware Training. - Jun Zhao 019; Xin Zhao; WenYu Zhan; Qi Zhang 001; Tao Gui; Zhongyu Wei; Yun Wen Chen; Xiang Gao 017; Xuanjing Huang 001 (ACL (1), 2023)

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. - Jun Zhao 019; WenYu Zhan; Xin Zhao; Qi Zhang 001; Tao Gui; Zhongyu Wei; Junzhe Wang; Minlong Peng; Mingming Sun 001 (ACL (1), 2023)

Detecting Adversarial Samples through Sharpness of Loss Landscape. - Rui Zheng; Shihan Dou; Yuhao Zhou; Qin Liu 010; Tao Gui; Qi Zhang 001; Zhongyu Wei; Xuanjing Huang 001; Menghan Zhang (ACL (Findings), 2023)

Characterizing the Impacts of Instances on Robustness. - Rui Zheng; Zhiheng Xi; Qin Liu 010; Wenbin Lai; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Jin Ma 003; Ying Shan; Weifeng Ge (ACL (Findings), 2023)

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Yuran Wang; Yong Ding; Yibo Zhang; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2023)

Towards Understanding Omission in Dialogue Summarization. - Yicheng Zou; Kaitao Song; Xu Tan 003; Zhongkai Fu; Qi Zhang 001; Dongsheng Li 002; Tao Gui (ACL (1), 2023)

Unleashing the Power of Language Models in Text-Attributed Graph. - Haoyu Kuang; Jiarong Xu; Haozhe Zhang 003; Zuyu Zhao; Qi Zhang 001; Xuanjing Huang 001; Zhongyu Wei (EMNLP (Findings), 2023)

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. - Jingcong Liang; Rong Ye; Meng Han; Qi Zhang 001; Ruofei Lai; Xinyu Zhang 019; Zhao Cao; Xuanjing Huang 001; Zhongyu Wei (EMNLP, 2023)

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. - Jiayu Lin; Rong Ye; Meng Han; Qi Zhang 001; Ruofei Lai; Xinyu Zhang 019; Zhao Cao; Xuanjing Huang 001; Zhongyu Wei (EMNLP, 2023)

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View. - Ruotian Ma; Xiaolei Wang; Xin Zhou 012; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2023)

One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling. - Ruoxue Ma; Jiarong Xu; Xinnong Zhang; Haozhe Zhang 003; Zuyu Zhao; Qi Zhang 001; Xuanjing Huang 001; Zhongyu Wei (EMNLP (Findings), 2023)

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. - Wei Shen; Rui Zheng; WenYu Zhan; Jun Zhao 019; Shihan Dou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Orthogonal Subspace Learning for Language Model Continual Learning. - Xiao Wang 001; Tianze Chen; Qiming Ge; Han Xia; Rong Bao; Rui Zheng; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. - Zhiheng Xi; Senjie Jin; Yuhao Zhou; Rui Zheng; Songyang Gao; Jia Liu; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization. - Ningyu Xu; Qi Zhang 001; Jingting Ye; Menghan Zhang; Xuanjing Huang 001 (EMNLP (Findings), 2023)

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. - Junjie Ye; Jie Zhou 012; Junfeng Tian; Rui Wang 005; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. - Chong Zhang; Ya Guo; Yi Tu; Huan Chen; Jinyang Tang; Huijia Zhu; Qi Zhang 001; Tao Gui (EMNLP, 2023)

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information. - Wentao Zhou; Jun Zhao 019; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. - Enyu Zhou; Rui Zheng; Zhiheng Xi; Songyang Gao; Xiaoran Fan; Zichu Fei; Jingting Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. - Zhikai Lei; Jie Zhou 015; Qin Chen 001; Qi Zhang 001; Liang He 001 (ICONIP (14), 2023)

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. - Xuanting Chen; Junjie Ye; Can Zu; Nuo Xu; Rui Zheng; Minlong Peng; Jie Zhou 015; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. - Junjie Ye; Xuanting Chen; Nuo Xu; Can Zu; Zekai Shao; Shichun Liu; Yuhan Cui; Zeyang Zhou; Chao Gong 003; Yang Shen; Jie Zhou 015; Siming Chen 001; et al. (CoRR, 2023)

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction. - Xiao Wang 035; Weikang Zhou; Can Zu; Han Xia; Tianze Chen; Yuansen Zhang; Rui Zheng; Junjie Ye; Qi Zhang 001; Tao Gui; Jihua Kang; Jingsheng Yang; et al. (CoRR, 2023)

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing. - Songyang Gao; Shihan Dou; Junjie Shan; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 015; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (CoRR, 2023)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. - Zhiheng Xi; Senjie Jin; Yuhao Zhou; Rui Zheng; Songyang Gao; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

Open Set Relation Extraction via Unknown-Aware Training. - Jun Zhao 019; Xin Zhao; WenYu Zhan; Qi Zhang 001; Tao Gui; Zhongyu Wei; Yunwen Chen; Xiang Gao 017; Xuanjing Huang 001 (CoRR, 2023)

Secrets of RLHF in Large Language Models Part I: PPO. - Rui Zheng; Shihan Dou; Songyang Gao; Yuan Hua; Wei Shen; Binghai Wang; Yan Liu 002; Senjie Jin; Qin Liu 010; Yuhao Zhou; Limao Xiong; Lu Chen; et al. (CoRR, 2023)

The Rise and Potential of Large Language Model Based Agents: A Survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (CoRR, 2023)

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models. - Xianjun Yang; Xiao Wang 042; Qi Zhang 001; Linda R. Petzold; William Yang Wang; Xun Zhao; Dahua Lin (CoRR, 2023)

Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths. - Bolin Zhu; Xiaoze Liu; Xin Mao; Zhuo Chen 007; Lingbing Guo; Tao Gui; Qi Zhang 001 (CoRR, 2023)

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models. - Xiao Wang 001; Yuansen Zhang; Tianze Chen; Songyang Gao; Senjie Jin; Xianjun Yang; Zhiheng Xi; Rui Zheng; Yicheng Zou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. - Junjie Ye; Jie Zhou 015; Junfeng Tian; Rui Wang 005; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2023)

Unveiling A Core Linguistic Region in Large Language Models. - Jun Zhao 019; Zhihao Zhang 002; Yide Ma; Qi Zhang 001; Tao Gui; Luhui Gao; Xuanjing Huang 001 (CoRR, 2023)

Making Harmful Behaviors Unlearnable for Large Language Models. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

RRescue: Ranking LLM Responses to Enhance Reasoning Over Context. - Yikun Wang; Rui Zheng; Haoming Li 019; Qi Zhang 001; Tao Gui; Fei Liu 004 (CoRR, 2023)

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. - Shihan Dou; Enyu Zhou; Yan Liu 002; Songyang Gao; Jun Zhao 019; Wei Shen; Yuhao Zhou; Zhiheng Xi; Xiao Wang 001; Xiaoran Fan; Shiliang Pu; Jiang Zhu; et al. (CoRR, 2023)

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. - Jingyi Zhou; Jie Zhou 015; Jiabao Zhao; Siyin Wang; Haijun Shan; Gui Tao; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

A benchmark for automatic medical consultation system: frameworks, tasks and datasets. - Wei Chen 088; Zhiwei Li; Hongyi Fang; Qianyuan Yao; Cheng Zhong; Jianye Hao; Qi Zhang 001; Xuanjing Huang 001; Jiajie Peng; Zhongyu Wei (Bioinform., 2023)

LLMEval: A Preliminary Study on How to Evaluate Large Language Models. - Yue Zhang 004; Ming Zhang 030; Haipeng Yuan; Shichun Liu; Yongyao Shi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (AAAI, 2024)

Making Harmful Behaviors Unlearnable for Large Language Models. - Xin Zhou 012; Yi Lu; Ruotian Ma; Yujian Wei; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2024)

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. - Shihan Dou; Yan Liu 002; Haoxiang Jia; Enyu Zhou; Limao Xiong; Junjie Shan; Caishuang Huang; Xiao Wang 001; Xiaoran Fan; Zhiheng Xi; Yuhao Zhou; Tao Ji; et al. (ACL (1), 2024)

LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. - Shihan Dou; Enyu Zhou; Yan Liu 002; Songyang Gao; Wei Shen; Limao Xiong; Yuhao Zhou; Xiao Wang 001; Zhiheng Xi; Xiaoran Fan; Shiliang Pu; Jiang Zhu; et al. (ACL (1), 2024)

Navigating the OverKill in Large Language Models. - Chenyu Shi; Xiao Wang 042; Qiming Ge; Songyang Gao; Xianjun Yang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Xun Zhao; Dahua Lin (ACL (1), 2024)

Length Generalization of Causal Transformers without Position Encoding. - Jie Wang 126; Tao Ji; Yuanbin Wu; Hang Yan 001; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Xiaoling Wang 004 (ACL (Findings), 2024)

Uncertainty Aware Learning for Language Model Alignment. - Yikun Wang; Rui Zheng; Liang Ding 006; Qi Zhang 001; Dahua Lin; Dacheng Tao (ACL (1), 2024)

Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation. - Yikun Wang; Rui Zheng; Haoming Li 019; Qi Zhang 001; Tao Gui; Fei Liu 004 (ACL (Student Research Workshop), 2024)

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. - Ting Wu; Jingyi Liu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2024)

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. - Junjie Ye; Sixian Li; Guanyu Li; Caishuang Huang; Songyang Gao; Yilong Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (ACL (1), 2024)

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization. - Yuansen Zhang; Xiao Wang; Tianze Chen; Jiayi Fu; Tao Gui; Qi Zhang 001 (ACL (Findings), 2024)

Unveiling Linguistic Regions in Large Language Models. - Zhihao Zhang 002; Jun Zhao 019; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (ACL (1), 2024)

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. - Siyin Wang; Jie Zhou 015; Qin Chen 001; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (LREC/COLING, 2024)

PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. - Kun Wu; Xinyi Mou; Lanqing Xue; Zhenzhe Ying; Weiqiang Wang; Qi Zhang 001; Xuanjing Huang 001; Zhongyu Wei (LREC/COLING, 2024)

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. - Yuansen Zhang; Xiao Wang 001; Zhiheng Xi; Han Xia; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (LREC/COLING, 2024)

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. - Rui Zheng; Yuhao Zhou; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (LREC/COLING, 2024)

ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. - Yuhao Zhou; Wenxiang Chen; Rui Zheng; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (LREC/COLING, 2024)

PDF-to-Tree: Parsing PDF Text Blocks into a Tree. - Yue Zhang 004; Zhihao Zhang 002; Wenbin Lai; Chong Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration. - Jun Zhao 019; Can Zu; Xu Hao; Yi Lu; Wei He 024; Yiwen Ding; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning. - Lu Chen; Rui Zheng; Binghai Wang; Senjie Jin; Caishuang Huang; Junjie Ye; Zhihao Zhang 002; Yuhao Zhou; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

LongHeads: Multi-Head Attention is Secretly a Long Context Processor. - Yi Lu; Xin Zhou 012; Wei He 024; Jun Zhao 019; Tao Ji; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

Reward Modeling Requires Automatic Adjustment Based on Data Quality. - Binghai Wang; Rui Zheng; Lu Chen; Zhiheng Xi; Wei Shen; Yuhao Zhou; Dong Yan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data. - Han Xia; Songyang Gao; Qiming Ge; Zhiheng Xi; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. - Junjie Ye; Yilong Wu; Songyang Gao; Caishuang Huang; Sixian Li; Guanyu Li; Xiaoran Fan; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (EMNLP, 2024)

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. - Ming Zhang 030; Caishuang Huang; Yilong Wu; Shichun Liu; Huiyuan Zheng; Yurui Dong; Yujiong Shen; Shihan Dou; Jun Zhao 019; Junjie Ye; Qi Zhang 001; Tao Gui; et al. (EMNLP, 2024)

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. - Chong Zhang; Yi Tu; Yixi Zhao; Chenshu Yuan; Huan Chen; Yue Zhang 004; Mingxu Chai; Ya Guo; Huijia Zhu; Qi Zhang 001; Tao Gui (EMNLP, 2024)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems. - Jun Zhao 019; Jingqi Tong; Yurong Mou; Ming Zhang 030; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. - Xin Zhou 012; Ping Nie; Yiwen Guo; Haojie Wei; Zhanqiu Zhang; Pasquale Minervini; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. - Jingyi Zhou; Jie Zhou 015; Jiabao Zhao; Siyin Wang; Haijun Shan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ICASSP, 2024)

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. - Rui Zheng; Wei Shen; Yuan Hua; Wenbin Lai; Shihan Dou; Yuhao Zhou; Zhiheng Xi; Xiao Wang; Haoran Huang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ICLR, 2024)

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback. - Songyang Gao; Qiming Ge; Wei Shen; Shihan Dou; Junjie Ye; Xiao Wang 001; Rui Zheng; Yicheng Zou; Zhi Chen 006; Hang Yan 001; Qi Zhang 001; Dahua Lin (ICML, 2024)

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. - Zhiheng Xi; Wenxiang Chen; Boyang Hong; Senjie Jin; Rui Zheng; Wei He 024; Yiwen Ding; Shichun Liu; Xin Guo; Junzhe Wang; Honglin Guo; Wei Shen; et al. (ICML, 2024)

UNER: A Unified Prediction Head for Named Entity Recognition in Visually-rich Documents. - Yi Tu; Chong Zhang; Ya Guo; Huan Chen; Jinyang Tang; Huijia Zhu; Qi Zhang 001 (ACM Multimedia, 2024)

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. - Wei He 024; Shichun Liu; Jun Zhao 019; Yiwen Ding; Yi Lu; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (NAACL-HLT (Findings), 2024)

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing. - Shihan Dou; Songyang Gao; Tao Gui; Qi Zhang 001 (NLPCC (1), 2024)

Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling. - Qi Zhang 001; Jieming Zhu; Jiansheng Sun; Guohao Cai; Ruining Yu; Bangzheng He; Liangbi Li (RecSys Challenge, 2024)

BehaMiner: System Behavior Mining for Audit Log Based on Graph Learning. - Xiu Ma; Xiaoze Liu; Ce Li; Ziyang Yu; Qi Zhang 001; Qiujian Lv; Yan Wang; Jianguo Jiang (WASA (1), 2024)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. - Junjie Ye; Guanyu Li; Songyang Gao; Caishuang Huang; Yilong Wu; Sixian Li; Xiaoran Fan; Shihan Dou; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

LLaMA Beyond English: An Empirical Study on Language Capability Transfer. - Jun Zhao 019; Zhihao Zhang 002; Luhui Gao; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

Secrets of RLHF in Large Language Models Part II: Reward Modeling. - Binghai Wang; Rui Zheng; Lu Chen; Yan Liu 002; Shihan Dou; Caishuang Huang; Wei Shen; Senjie Jin; Enyu Zhou; Chenyu Shi; Songyang Gao; Nuo Xu; et al. (CoRR, 2024)

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback. - Songyang Gao; Qiming Ge; Wei Shen; Shihan Dou; Junjie Ye; Xiao Wang 042; Rui Zheng; Yicheng Zou; Zhi Chen 006; Hang Yan 001; Qi Zhang 001; Dahua Lin (CoRR, 2024)

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 030; Caishuang Huang; et al. (CoRR, 2024)

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. - Shihan Dou; Yan Liu 002; Haoxiang Jia; Limao Xiong; Enyu Zhou; Wei Shen; Junjie Shan; Caishuang Huang; Xiao Wang 001; Xiaoran Fan; Zhiheng Xi; Yuhao Zhou; et al. (CoRR, 2024)

Are Large Language Models Good Prompt Optimizers? - Ruotian Ma; Xiaolei Wang; Xin Zhou 012; Jian Li; Nan Du; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

Rethinking the Evaluation of Pre-trained Text-and-Layout Models from an Entity-Centric Perspective. - Chong Zhang; Yixi Zhao; Chenshu Yuan; Yi Tu; Ya Guo; Qi Zhang 001 (CoRR, 2024)

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. - Nuo Xu; Jun Zhao 019; Can Zu; Sixian Li; Lu Chen; Zhihao Zhang 002; Rui Zheng; Shihan Dou; Wenjuan Qin; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration. - Jun Zhao 019; Can Zu; Hao Xu; Yi Lu; Wei He 024; Yiwen Ding; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe. - Ningyu Xu; Qi Zhang 001; Menghan Zhang; Peng Qian; Xuanjing Huang 001 (CoRR, 2024)

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. - Junjie Ye; Nuo Xu; Yikun Wang; Jie Zhou 015; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models. - Huijie Lv; Xiao Wang 001; Yuansen Zhang; Caishuang Huang; Shihan Dou; Junjie Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models. - Weikang Zhou; Xiao Wang 001; Limao Xiong; Han Xia; Yingshuang Gu; Mingxu Chai; Fukang Zhu; Caishuang Huang; Shihan Dou; Zhiheng Xi; Rui Zheng; Songyang Gao; et al. (CoRR, 2024)

Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning. - Xiao Wang 042; Tianze Chen; Xianjun Yang; Qi Zhang 001; Xun Zhao; Dahua Lin (CoRR, 2024)

MetaRM: Shifted Distributions Alignment via Meta-Learning. - Shihan Dou; Yan Liu 002; Enyu Zhou; Tianlong Li; Haoxiang Jia; Limao Xiong; Xin Zhao; Junjie Ye; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning. - Jun Zhao 019; Jingqi Tong; Yurong Mou; Ming Zhang 030; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments. - Zhiheng Xi; Yiwen Ding; Wenxiang Chen; Boyang Hong; Honglin Guo; Junzhe Wang; Dingwen Yang; Chenyang Liao; Xin Guo; Wei He 024; Songyang Gao; Lu Chen; et al. (CoRR, 2024)

Toward Optimal LLM Alignments Using Two-Player Games. - Rui Zheng; Hongyi Guo; Zhihan Liu; Xiaoying Zhang; Yuanshun Yao; Xiaojun Xu; Zhaoran Wang 001; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Hang Li 001; et al. (CoRR, 2024)

Aligning Large Language Models from Self-Reference AI Feedback with one General Principle. - Rong Bao; Rui Zheng; Shihan Dou; Xiao Wang 014; Enyu Zhou; Bo Wang; Qi Zhang 001; Liang Ding 006; Dacheng Tao (CoRR, 2024)

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance. - Caishuang Huang; Wanxu Zhao; Rui Zheng; Huijie Lv; Shihan Dou; Sixian Li; Xiao Wang 042; Enyu Zhou; Junjie Ye; Yuming Yang; Tao Gui; Qi Zhang 001; et al. (CoRR, 2024)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. - Shihan Dou; Haoxiang Jia; Shenxi Wu; Huiyuan Zheng; Weikang Zhou; Muling Wu; Mingxu Chai; Jessica Fan; Caishuang Huang; Yunbo Tao; Yan Liu 002; Enyu Zhou; et al. (CoRR, 2024)

Empirical Insights on Fine-Tuning Large Language Models for Question-Answering. - Junjie Ye; Yuming Yang; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007 (CoRR, 2024)

Distill Visual Chart Reasoning Ability from LLMs to MLLMs. - Wei He 024; Zhiheng Xi; Wanxu Zhao; Xiaoran Fan; Yiwen Ding; Zifei Shan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

Multi-Programming Language Sandbox for LLMs. - Shihan Dou; Jiazheng Zhang; Jianxiang Zang; Yunbo Tao; Haoxiang Jia; Shichun Liu; Yuming Yang; Shenxi Wu; Shaoqing Zhang; Muling Wu; Changze Lv; Limao Xiong; et al. (CoRR, 2024)

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. - Yiwen Ding; Zhiheng Xi; Wei He 024; Zhuoyuan Li; Yitao Zhai; Xiaowei Shi; Xunliang Cai; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. - Zhiheng Xi; Dingwen Yang; Jixuan Huang; Jiafu Tang; Guanyu Li; Yiwen Ding; Wei He 024; Boyang Hong; Shihan Dou; Wenyu Zhan; Xiao Wang 001; Rui Zheng; et al. (CoRR, 2024)

EvoWiki: Evaluating LLMs on Evolving Knowledge. - Wei Tang 015; Yixin Cao 002; Yang Deng 002; Jiahao Ying; Bo Wang; Yizhe Yang; Yuyue Zhao; Qi Zhang 001; Xuanjing Huang 001; Yu-Gang Jiang 001; Yong Liao (CoRR, 2024)

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. - Junjie Ye; Yilong Wu; Sixian Li; Yuming Yang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007; Zhengyin Du (CoRR, 2024)

CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. - Jie Zhou 015; Yuanbiao Lin; Qin Chen 001; Qi Zhang 001; Xuanjing Huang 001; Liang He 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. - Shihan Dou; Yan Liu 002; Enyu Zhou; Songyang Gao; Tianlong Li; Limao Xiong; Xin Zhao; Haoxiang Jia; Junjie Ye; Rui Zheng; Tao Gui; Qi Zhang 001; et al. (AAAI, 2025)

EvoWiki: Evaluating LLMs on Evolving Knowledge. - Wei Tang 015; Yixin Cao 006; Yang Deng 002; Jiahao Ying; Bo Wang; Yizhe Yang; Yuyue Zhao; Qi Zhang 001; Xuanjing Huang 001; Yu-Gang Jiang 001; Yong Liao (ACL (1), 2025)

Better Process Supervision with Bi-directional Rewarding Signals. - Wenxiang Chen; Wei He 024; Zhiheng Xi; Honglin Guo; Boyang Hong; Jiazheng Zhang; Nijun Li; Tao Gui; Yun Li; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2025)

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. - Shihan Dou; Jiayi Chen; Chenhao Huang; Feng Chen 042; Wei Chengzhi; Huiyuan Zheng; Shichun Liu; Yan Liu 002; Chenxiao Liu; Chao Xin; Lin Yan; Zongzhang Zhang; et al. (ACL (1), 2025)

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law. - Qiming Ge; Shuhao Xing; Songyang Gao; Yunhua Zhou; Yicheng Zou; Songyang Zhang; Zhi Chen 006; Hang Yan 001; Qi Zhang 001; Qipeng Guo; Kai Chen 026 (ACL (1), 2025)

Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs. - Tao Ji; Bin Guo; Yuanbin Wu; Qipeng Guo; Shenlixing Shenlixing; Chenzhan Chenzhan; Xipeng Qiu; Qi Zhang 001; Tao Gui (ACL (1), 2025)

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments. - Zhiheng Xi; Yiwen Ding; Wenxiang Chen; Boyang Hong; Honglin Guo; Junzhe Wang; Xin Guo; Dingwen Yang; Chenyang Liao; Wei He 024; Songyang Gao; Lu Chen; et al. (ACL (1), 2025)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang; Yang Nan; Junjie Ye; Shihan Dou; Xiao Wang; Shuo Li; Huijie Lv; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2025)

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. - Junjie Ye; Zhengyin Du; Xuesong Yao; Weijian Lin; Yufei Xu; Zehui Chen; Zaiyuan Wang; Sining Zhu; Zhiheng Xi; Siyu Yuan; Tao Gui; Qi Zhang 001; et al. (ACL (1), 2025)

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts. - Ming Zhang 030; Yuhui Wang; Yujiong Shen; Tingyi Yang; Changhao Jiang; Yilong Wu; Shihan Dou; Qinhao Chen; Zhiheng Xi; Zhihao Zhang 002; Yi Dong; Zhen Wang 020; et al. (ACL (Findings), 2025)

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. - Yuming Yang; Wantong Zhao; Caishuang Huang; Junjie Ye; Xiao Wang; Huiyuan Zheng; Yang Nan; Yuran Wang; Xueying Xu; Kaixin Huang; Yunke Zhang; Tao Gui; et al. (COLING, 2025)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. - Junjie Ye; Guanyu Li; Songyang Gao; Caishuang Huang; Yilong Wu; Sixian Li; Xiaoran Fan; Shihan Dou; Tao Ji; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (COLING, 2025)

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs. - Shuo Li; Tao Ji; Xiaoran Fan; Linsheng Lu; Leyi Yang; Yuming Yang; Zhiheng Xi; Rui Zheng; Yuran Wang; Xiaohui Zhao; Tao Gui; Qi Zhang 001; et al. (ICLR, 2025)

RMB: Comprehensively benchmarking reward models in LLM alignment. - Enyu Zhou; Guodong Zheng; Binghai Wang; Zhiheng Xi; Shihan Dou; Rong Bao; Wei Shen; Limao Xiong; Jessica Fan; Yurong Mou; Rui Zheng; Tao Gui; et al. (ICLR, 2025)

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. - Yiwen Ding; Zhiheng Xi; Wei He 024; Lizhuoyuan Lizhuoyuan; Yitao Zhai; Shi Xiaowei; Xunliang Cai; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (NAACL (Long Papers), 2025)

The rise and potential of large language model based agents: a survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (Sci. China Inf. Sci., 2025)

Human-like conceptual representations emerge from language prediction. - Ningyu Xu; Qi Zhang 001; Chao Du; Qiang Luo; Xipeng Qiu; Xuanjing Huang 001; Menghan Zhang (CoRR, 2025)

Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training. - Changhao Jiang; Ming Zhang 030; Junjie Ye; Xiaoran Fan; Yifei Cao; Jiajun Sun; Zhiheng Xi; Shihan Dou; Yi Dong; Yujiong Shen; Jingqi Tong; Zhen Wang 020; et al. (CoRR, 2025)

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models. - Xin Zhou 012; Yiwen Guo; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs. - Tao Ji; Bin Guo; Yuanbin Wu; Qipeng Guo; Lixing Shen; Zhan Chen; Xipeng Qiu; Qi Zhang 001; Tao Gui (CoRR, 2025)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang; Yang Nan; Junjie Ye; Shihan Dou; Xiao Wang; Shuo Li; Huijie Lv; Mingqi Wu; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

CritiQ: Mining Data Quality Criteria from Human Preferences. - Honglin Guo; Kai Lv 001; Qipeng Guo; Tianyi Liang; Zhiheng Xi; Demin Song; Qi Zhang 001; Yu Sun 031; Kai Chen 026; Xipeng Qiu; Tao Gui (CoRR, 2025)

Better Process Supervision with Bi-directional Rewarding Signals. - Wenxiang Chen; Wei He 024; Zhiheng Xi; Honglin Guo; Boyang Hong; Jiazheng Zhang; Rui Zheng; Nijun Li; Tao Gui; Yun Li; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations. - Shuo Li; Jiajun Sun; Guodong Zheng; Xiaoran Fan; Yujiong Shen; Yi Lu; Zhiheng Xi; Yuming Yang; Wenming Tan; Tao Ji; Tao Gui; Qi Zhang 001; et al. (CoRR, 2025)

Improving RL Exploration for LLM Reasoning through Retrospective Replay. - Shihan Dou; Muling Wu; Jingwen Xu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. - Yixin Cao 002; Shibo Hong; Xinze Li; Jiahao Ying; Yubo Ma; Haiyuan Liang; Yantao Liu; Zijun Yao 002; Xiaozhi Wang; Dan Huang; Wenxuan Zhang 001; Lifu Huang; et al. (CoRR, 2025)

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation. - Yi Lu; Wanxu Zhao; Xin Zhou 012; Chenxin An; Chenglong Wang; Shuo Li; Yuming Yang; Jun Zhao 019; Tao Ji; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models. - Chong Zhang; Yue Deng 010; Xiang Lin; Bin Wang; Dianwen Ng; Hai Ye; Xingxuan Li; Yao Xiao; Zhanfeng Mo; Qi Zhang 001; Lidong Bing (CoRR, 2025)

A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models. - Junjie Ye; Caishuang Huang; Zhuohan Chen; Wenjie Fu 013; Chenyuan Yang; Leyi Yang; Yilong Wu; Peng Wang 095; Meng Zhou; Xiaolong Yang; Tao Gui; Qi Zhang 001; et al. (CoRR, 2025)

WorldPM: Scaling Human Preference Modeling. - Binghai Wang; Runji Lin; Keming Lu; Le Yu; Zhenru Zhang; Fei Huang 005; Chujie Zheng; Kai Dang; Yang Fan; Xingzhang Ren; An Yang; Binyuan Hui; et al. (CoRR, 2025)

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment. - Jiazheng Zhang; Wenqing Jing; Zizhuo Zhang; Zhiheng Xi; Shihan Dou; Rongxiang Weng; Jiahuan Li; Jingang Wang; Mingxu Chai; Shibo Hong; Tao Gui; Qi Zhang 001 (CoRR, 2025)

Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning. - Jingqi Tong; Jixin Tang; Hangcheng Li; Yurong Mou; Ming Zhang 030; Jun Zhao 019; Yanbo Wen; Fan Song; Jiahao Zhan; Yuyang Lu; Chaoran Tao; Zhiyuan Guo; et al. (CoRR, 2025)

Compression Hacking: A Supplementary Perspective on Informatics Metric of Language Models from Geometric Distortion. - Jianxiang Zang; Meiling Ning; Yongda Wei; Shihan Dou; Jiazheng Zhang; Nijia Mo; Binhong Li; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving. - Shihan Dou; Ming Zhang 030; Chenhao Huang; Jiayi Chen; Feng Chen 042; Shichun Liu; Yan Liu 002; Chenxiao Liu; Cheng Zhong; Zongzhang Zhang; Tao Gui; Chao Xin; et al. (CoRR, 2025)

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation. - Ming Zhang 030; Yujiong Shen; Zelin Li; Huayu Sha; Binze Hu; Yuhui Wang; Chenhao Huang; Shichun Liu; Jingqi Tong; Changhao Jiang; Mingxu Chai; Zhiheng Xi; et al. (CoRR, 2025)

Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction. - Xiaoran Fan; Zhichao Sun; Yangfan Gao; Jingfei Xiong; Hang Yan 001; Yifei Cao; Jiajun Sun; Shuo Li; Zhihao Zhang 002; Zhiheng Xi; Yuhao Zhou; Senjie Jin; et al. (CoRR, 2025)

Reinforcement Fine-Tuning Enables MLLMs Learning Novel Tasks Stably. - Zhihao Zhang 002; Qiaole Dong; Qi Zhang 001; Jun Zhao 019; Enyu Zhou; Zhiheng Xi; Senjie Jin; Xiaoran Fan; Yuhao Zhou; Yanwei Fu 001; Tao Ji; Tao Gui; et al. (CoRR, 2025)

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset. - Zhiheng Xi; Guanyu Li; Yutao Fan; Honglin Guo; Yufang Liu; Xiaoran Fan; Jiaqi Liu; Jingchao Ding; Wangmeng Zuo; Zhenfei Yin; Lei Bai 001; Tao Ji; et al. (CoRR, 2025)

Pre-Trained Policy Discriminators are General Reward Models. - Shihan Dou; Shichun Liu; Yuming Yang; Yicheng Zou; Yunhua Zhou; Shuhao Xing; Chenhao Huang; Qiming Ge; Demin Song; Haijun Lv; Songyang Gao; Chengqi Lv; et al. (CoRR, 2025)

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination. - Mingqi Wu; Zhihao Zhang 002; Qiaole Dong; Zhiheng Xi; Jun Zhao 019; Senjie Jin; Xiaoran Fan; Yuhao Zhou; Yanwei Fu 001; Qin Liu 010; Songyang Zhang; Qi Zhang 001 (CoRR, 2025)

SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents. - Changhao Jiang; Jiajun Sun; Yifei Cao; Jiabao Zhuang; Hui Li; Xiaoran Fan; Ming Zhang 030; Junjie Ye; Shihan Dou; Zhiheng Xi; Jingqi Tong; Yilong Wu; et al. (CoRR, 2025)

Mitigating Attention Hacking in Preference-Based Reward Modeling via Interaction Distillation. - Jianxiang Zang; Meiling Ning; Shihan Dou; Jiazheng Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. - Ming Zhang 030; Yujiong Shen; Jingyi Deng; Yuhui Wang; Yue Zhang 004; Junzhe Wang; Shichun Liu; Shihan Dou; Huayu Sha; Qiyuan Peng; Changhao Jiang; Jingqi Tong; et al. (CoRR, 2025)

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments. - Junjie Ye; Changhao Jiang; Zhengyin Du; Yufei Xu; Xuesong Yao; Zhiheng Xi; Xiaoran Fan; Qi Zhang 001; Xuanjing Huang 001; Jiecao Chen (CoRR, 2025)