Intra-document Coreference Resolution: The state of the art. - Jun Lang 001; Bing Qin 001; Ting Liu 001; Sheng Li 003 (J. Chin. Lang. Comput., 2007)

A Cascaded Syntactic and Semantic Dependency Parsing System. - Wanxiang Che; Zhenghua Li; Yuxuan Hu 001; Yongqiang Li; Bing Qin 001; Ting Liu 001; Sheng Li 003 (CoNLL, 2008)

Recommended or Not? Give Advice on Online Products. - Bing Qin 001; Yanyan Zhao; Leilei Gao; Ting Liu 001 (FSKD (4), 2008)

HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence. - Ruifang He; Yang Liu 089; Bing Qin 001; Ting Liu 001; Sheng Li 003 (TAC, 2008)

A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression. - Ruifang He; Bing Qin 001; Ting Liu 001; Yuequn Pan; Sheng Li 003 (J. Chin. Lang. Comput., 2008)

Iterative Feedback Based Manifold-Ranking for Update Summary. - Ruifang He; Bing Qin 001; Ting Liu 001; Yang Liu 089; Sheng Li 003 (Polibits, 2008)

Multilingual Dependency-based Syntactic and Semantic Parsing. - Wanxiang Che; Zhenghua Li; Yongqiang Li; Yuhang Guo 001; Bing Qin 001; Ting Liu 001 (CoNLL Shared Task, 2009)

Unsupervised Coreference Resolution with HyperGraph Partitioning. - Jun Lang 001; Bing Qin 001; Ting Liu 001; Sheng Li 003 (Comput. Inf. Sci., 2009)

Generalizing Syntactic Structures for Product Attribute Candidate Extraction. - Yanyan Zhao; Bing Qin 001; Shen Hu; Ting Liu 001 (HLT-NAACL, 2010)

The Comparison of SOM and K-means for Text Clustering. - Yiheng Chen; Bing Qin 001; Ting Liu 001; Yuanchao Liu; Sheng Li 003 (Comput. Inf. Sci., 2010)

Cascaded Regression Analysis Based Temporal Multi-document Summarization. - Ruifang He; Bing Qin 001; Ting Liu 001; Sheng Li 003 (Informatica (Slovenia), 2010)

Coreference Resolution System using Maximum Entropy Classifier. - Wei-Peng Chen; Muyu Zhang; Bing Qin 001 (CoNLL Shared Task, 2011)

Generating Chinese Named Entity Data from a Parallel Corpus. - Ruiji Fu; Bing Qin 001; Ting Liu 001 (IJCNLP, 2011)

Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification. - Yanyan Zhao; Bing Qin 001; Wanxiang Che; Ting Liu 001 (Int. J. Comput. Process. Orient. Lang., 2011)

Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. - Yanyan Zhao; Bing Qin 001; Ting Liu 001 (EMNLP-CoNLL, 2012)

HIT Approaches to Entity Linking at TAC 2012. - Yuhang Guo 001; Bing Qin 001; Ting Liu 001; Sheng Li 003 (TAC, 2012)

A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering. - Ruifang He; Bing Qin 001; Ting Liu 001 (Expert Syst. Appl., 2012)

Improving Web Search Ranking by Incorporating Structured Annotation of Queries. - Xiao Ding; Zhicheng Dou; Bing Qin 001; Ting Liu 001; Ji-Rong Wen (EMNLP, 2013)

Exploiting Multiple Sources for Open-Domain Hypernym Discovery. - Ruiji Fu; Bing Qin 001; Ting Liu 001 (EMNLP, 2013)

Microblog Entity Linking by Leveraging Extra Posts. - Yuhang Guo 001; Bing Qin 001; Ting Liu 001; Sheng Li 003 (EMNLP, 2013)

Building Chinese Event Type Paradigm Based on Trigger Clustering. - Xiao Ding; Bing Qin 001; Ting Liu 001 (IJCNLP, 2013)

Topical Key Concept Extraction from Folksonomy. - Han Xue; Bing Qin 001; Ting Liu 001; Chao Xiang (IJCNLP, 2013)

Improving Candidate Generation for Entity Linking. - Yuhang Guo 001; Bing Qin 001; Yuqin Li; Ting Liu 001; Sheng Li 003 (NLDB, 2013)

Learning Sentence Representation for Emotion Classification on Microblogs. - Duyu Tang; Bing Qin 001; Ting Liu 001; Zhenghua Li (NLPCC, 2013)

Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation. - Duyu Tang; Bing Qin 001; Lanjun Zhou; Kam-Fai Wong; Yanyan Zhao; Ting Liu 001 (CoRR, 2013)

Learning Semantic Hierarchies via Word Embeddings. - Ruiji Fu; Jiang Guo; Bing Qin 001; Wanxiang Che; Haifeng Wang 001; Ting Liu 001 (ACL (1), 2014)

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. - Duyu Tang; Furu Wei; Nan Yang 002; Ming Zhou 001; Ting Liu 001; Bing Qin 001 (ACL (1), 2014)

Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining. - Yanyan Zhao; Bing Qin 001; Ting Liu 001 (CCL, 2014)

Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. - Duyu Tang; Furu Wei; Bing Qin 001; Ming Zhou 001; Ting Liu 001 (COLING, 2014)

Triple based Background Knowledge Ranking for Document Enrichment. - Muyu Zhang; Bing Qin 001; Ting Liu 001; Mao Zheng (COLING, 2014)

Sentence Compression for Target-Polarity Word Collocation Extraction. - Yanyan Zhao; Wanxiang Che; Honglei Guo; Bing Qin 001; Zhong Su; Ting Liu 001 (COLING, 2014)

A Joint Segmentation and Classification Framework for Sentiment Analysis. - Duyu Tang; Furu Wei; Bing Qin 001; Li Dong 004; Ting Liu 001; Ming Zhou 001 (EMNLP, 2014)

Aspect-Object Alignment Using Integer Linear Programming. - Yanyan Zhao; Bing Qin 001; Ting Liu 001 (NLPCC, 2014)

Coooolll: A Deep Learning System for Twitter Sentiment Classification. - Duyu Tang; Furu Wei; Bing Qin 001; Ting Liu 001; Ming Zhou 001 (SemEval@COLING, 2014)

Emotion Analysis Platform on Chinese Microblog. - Duyu Tang; Bing Qin 001; Ting Liu 001; Qiuhui Shi (CoRR, 2014)

Generating Chinese named entity data from parallel corpora. - Ruiji Fu; Bing Qin 001; Ting Liu 001 (Frontiers Comput. Sci., 2014)

Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. - Duyu Tang; Bing Qin 001; Ting Liu 001 (ACL (1), 2015)

Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. - Muyu Zhang; Bing Qin 001; Mao Zheng; Graeme Hirst; Ting Liu 001 (ACL (1), 2015)

Learning Document Representation for Deceptive Opinion Spam Detection. - Luyang Li; Wenjing Ren; Bing Qin 001; Ting Liu 001 (CCL, 2015)

Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. - Duyu Tang; Bing Qin 001; Ting Liu 001 (EMNLP, 2015)

User Modeling with Neural Network for Review Rating Prediction. - Duyu Tang; Bing Qin 001; Ting Liu 001; Yuekui Yang (IJCAI, 2015)

Transition-Based Syntactic Linearization. - Yijia Liu; Yue Zhang 004; Wanxiang Che; Bing Qin 001 (HLT-NAACL, 2015)

Encoding World Knowledge in the Evaluation of Local Coherence. - Muyu Zhang; Vanessa Wei Feng; Bing Qin 001; Graeme Hirst; Ting Liu 001; Jingwen Huang (HLT-NAACL, 2015)

What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs. - Yanyan Zhao; Bing Qin 001; Zhenjiang Dong; Hong Chen; Ting Liu 001 (NLPCC, 2015)

Generating Triples Based on Dependency Parsing for Contradiction Detection. - Luyang Li; Bing Qin 001; Ting Liu 001 (SMP, 2015)

Target-Dependent Sentiment Classification with Long Short Term Memory. - Duyu Tang; Bing Qin 001; Xiaocheng Feng; Ting Liu 001 (CoRR, 2015)

A Planning based Framework for Essay Generation. - Duyu Tang; Bing Qin 001; Xinwei Geng; Dandan Ning; Jiahao Liu; Ting Liu 001 (CoRR, 2015)

Creating a Fine-Grained Corpus for Chinese Sentiment Analysis. - Yanyan Zhao; Bing Qin 001; Ting Liu 001 (IEEE Intell. Syst., 2015)

BUEES: a bottom-up event extraction system. - Xiao Ding; Bing Qin 001; Ting Liu 001 (Frontiers Inf. Technol. Electron. Eng., 2015)

Open-categorical text classification based on multi-LDA models. - Ruiji Fu; Bing Qin 001; Ting Liu 001 (Soft Comput., 2015)

Learning Semantic Hierarchies: A Continuous Vector Space Approach. - Ruiji Fu; Jiang Guo; Bing Qin 001; Wanxiang Che; Haifeng Wang 001; Ting Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. - Duyu Tang; Bing Qin 001; Furu Wei; Li Dong 004; Ting Liu 001; Ming Zhou 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Deep learning for sentiment analysis: successful approaches and future challenges. - Duyu Tang; Bing Qin 001; Ting Liu 001 (WIREs Data Mining Knowl. Discov., 2015)

A Language-Independent Neural Network for Event Detection. - Xiaocheng Feng; Lifu Huang; Duyu Tang; Heng Ji 001; Bing Qin 001; Ting Liu 001 (ACL (2), 2016)

English-Chinese Knowledge Base Translation with Neural Network. - Xiaocheng Feng; Duyu Tang; Bing Qin 001; Ting Liu 001 (COLING, 2016)

Effective LSTMs for Target-Dependent Sentiment Classification. - Duyu Tang; Bing Qin 001; Xiaocheng Feng; Ting Liu 001 (COLING, 2016)

Aspect Level Sentiment Classification with Deep Memory Network. - Duyu Tang; Bing Qin 001; Ting Liu 001 (EMNLP, 2016)

Exploring Segment Representations for Neural Segmentation Models. - Yijia Liu; Wanxiang Che; Jiang Guo; Bing Qin 001; Ting Liu 001 (IJCAI, 2016)

HC-Search for Incremental Parsing. - Yijia Liu; Wanxiang Che; Bing Qin 001; Ting Liu 001 (IJCAI, 2016)

SemEval-2016 Task 5: Aspect Based Sentiment Analysis. - Maria Pontiki; Dimitris Galanis; Haris Papageorgiou; Ion Androutsopoulos; Suresh Manandhar; Mohammad Al-Smadi; Mahmoud Al-Ayyoub; Yanyan Zhao; Bing Qin 001; Orphée De Clercq; Véronique Hoste; Marianna Apidianaki; et al. (SemEval@NAACL-HLT, 2016)

Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction. - Yanyan Zhao; Shengqiu Li; Bing Qin 001; Ting Liu 001 (SMP, 2016)

Truth Discovery with Memory Network. - Luyang Li; Bing Qin 001; Wenjing Ren; Ting Liu 001 (CoRR, 2016)

Topic hierarchy construction from heterogeneous evidence. - Han Xue; Bing Qin 001; Ting Liu 001; Shen Liu (Frontiers Comput. Sci., 2016)

Topical key concept extraction from folksonomy through graph-based ranking. - Han Xue; Bing Qin 001; Ting Liu 001 (Multim. Tools Appl., 2016)

Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. - Yanyan Zhao; Bing Qin 001; Ting Liu 001; Duyu Tang (Multim. Tools Appl., 2016)

Sentiment Embeddings with Applications to Sentiment Analysis. - Duyu Tang; Furu Wei; Bing Qin 001; Nan Yang 002; Ting Liu 001; Ming Zhou 001 (IEEE Trans. Knowl. Data Eng., 2016)

Benben: A Chinese Intelligent Conversational Robot. - Weinan Zhang 003; Ting Liu 001; Bing Qin 001; Yu Zhang 030; Wanxiang Che; Yanyan Zhao; Xiao Ding (ACL (System Demonstrations), 2017)

Constructing Semantic Hierarchies via Fusion Learning Architecture. - Tianwen Jiang; Ming Liu 004; Bing Qin 001; Ting Liu 001 (CCIR, 2017)

Deep Learning Based Document Theme Analysis for Composition Generation. - Jiahao Liu; Chengjie Sun; Bing Qin 001 (CCL, 2017)

Effective Deep Memory Networks for Distant Supervised Relation Extraction. - Xiaocheng Feng; Jiang Guo; Bing Qin 001; Ting Liu 001; Yongjie Liu (IJCAI, 2017)

ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. - Stan Zhao; Meng Jiang 001; Quan Yuan; Bing Qin 001; Ting Liu 001; ChengXiang Zhai (IJCAI, 2017)

Babbling - The HIT-SCIR System for Emotional Conversation Generation. - Jianhua Yuan; Huaipeng Zhao; Yanyan Zhao; Dawei Cong; Bing Qin 001; Ting Liu 001 (NLPCC, 2017)

Local Contexts Are Effective for Neural Aspect Extraction. - Jianhua Yuan; Yanyan Zhao; Bing Qin 001; Ting Liu 001 (SMP, 2017)

Constructing and Embedding Abstract Event Causality Networks from Text Snippets. - Sendong Zhao; Quan Wang 002; Sean Massung; Bing Qin 001; Ting Liu 001; Bin Wang 004; ChengXiang Zhai (WSDM, 2017)

Contradiction Detection with Contradiction-Specific Word Embedding. - Luyang Li; Bing Qin 001; Ting Liu 001 (Algorithms, 2017)

Encoding syntactic representations with a neural network for sentiment collocation extraction. - Yanyan Zhao; Bing Qin 001; Ting Liu 001 (Sci. China Inf. Sci., 2017)

Document representation and feature combination for deceptive spam review detection. - Luyang Li; Bing Qin 001; Wenjing Ren; Ting Liu 001 (Neurocomputing, 2017)

Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. - Haichao Zhu; Furu Wei; Bing Qin 001; Ting Liu 001 (AAAI, 2018)

Distilling Knowledge for Search-based Structured Prediction. - Yijia Liu; Wanxiang Che; Huaipeng Zhao; Bing Qin 001; Ting Liu 001 (ACL (1), 2018)

Semantic Parsing with Syntax- and Table-Aware SQL Generation. - Yibo Sun; Duyu Tang; Nan Duan; Jianshu Ji; Guihong Cao; Xiaocheng Feng; Bing Qin 001; Ting Liu 001; Ming Zhou 001 (ACL (1), 2018)

CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. - Sendong Zhao; Meng Jiang 001; Ming Liu 004; Bing Qin 001; Ting Liu 001 (BCB, 2018)

A Joint Model for Sentiment Classification and Opinion Words Extraction. - Dawei Cong; Jianhua Yuan; Yanyan Zhao; Bing Qin 001 (CCL, 2018)

Adaptive Multi-pass Decoder for Neural Machine Translation. - Xinwei Geng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (EMNLP, 2018)

An AMR Aligner Tuned by Transition-based Parser. - Yijia Liu; Wanxiang Che; Bo Zheng 010; Bing Qin 001; Ting Liu 001 (EMNLP, 2018)

Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. - Xiaocheng Feng; Xiachong Feng; Bing Qin 001; Zhangyin Feng; Ting Liu 001 (IJCAI, 2018)

Topic-to-Essay Generation with Neural Networks. - Xiaocheng Feng; Ming Liu 004; Jiahao Liu; Bing Qin 001; Yibo Sun; Ting Liu 001 (IJCAI, 2018)

Parsing Tweets into Universal Dependencies. - Yijia Liu; Yi Zhu; Wanxiang Che; Bing Qin 001; Nathan Schneider 001; Noah A. Smith (NAACL-HLT, 2018)

A language-independent neural network for event detection. - Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (Sci. China Inf. Sci., 2018)

Knowledge Based Machine Reading Comprehension. - Yibo Sun; Daya Guo; Duyu Tang; Nan Duan; Zhao Yan; Xiaocheng Feng; Bing Qin 001 (CoRR, 2018)

Knowledge-Aware Conversational Semantic Parsing Over Web Tables. - Yibo Sun; Duyu Tang; Nan Duan; Jingjing Xu 001; Xiaocheng Feng; Bing Qin 001 (CoRR, 2018)

Learning to Refine Source Representations for Neural Machine Translation. - Xinwei Geng; Longyue Wang; Xing Wang 007; Bing Qin 001; Ting Liu 001; Zhaopeng Tu (CoRR, 2018)

Exploring Answer Stance Detection with Recurrent Conditional Attention. - Jianhua Yuan; Yanyan Zhao; Jingfang Xu; Bing Qin 001 (AAAI, 2019)

Learning to Ask Unanswerable Questions for Machine Reading Comprehension. - Haichao Zhu; Li Dong 004; Furu Wei; Wenhui Wang 003; Bing Qin 001; Ting Liu 001 (ACL (1), 2019)

CTGA: Graph-based Biomedical Literature Search. - Tianwen Jiang; Zhihan Zhang 001; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (BIBM, 2019)

Table-to-Text Generation via Row-Aware Hierarchical Encoder. - Heng Gong; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (CCL, 2019)

Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. - Shuang Chen 003; Jinpeng Wang 001; Xiaocheng Feng; Feng Jiang 001; Bing Qin 001; Chin-Yew Lin (EMNLP/IJCNLP (1), 2019)

Cross-Lingual Machine Reading Comprehension. - Yiming Cui 001; Wanxiang Che; Ting Liu 001; Bing Qin 001; Shijin Wang 001; Guoping Hu (EMNLP/IJCNLP (1), 2019)

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). - Heng Gong; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (EMNLP/IJCNLP (1), 2019)

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (EMNLP/IJCNLP (1), 2019)

The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (KDD, 2019)

Hierarchical Attention based Neural Network for Explainable Recommendation. - Dawei Cong; Yanyan Zhao; Bing Qin 001; Yu Han; Murray Zhang; Alden Liu; Nat Chen (ICMR, 2019)

Knowledge-Aware Conversational Semantic Parsing over Web Tables. - Yibo Sun; Duyu Tang; Jingjing Xu 001; Nan Duan; Xiaocheng Feng; Bing Qin 001; Ting Liu 001; Ming Zhou 001 (NLPCC (1), 2019)

Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. - Tianwen Jiang; Ming Liu 004; Bing Qin 001; Ting Liu 001 (CoRR, 2019)

Towards Time-Aware Distant Supervision for Relation Extraction. - Tianwen Jiang; Sendong Zhao; Jing Liu 022; Jin-Ge Yao; Ming Liu 004; Bing Qin 001; Ting Liu 001; Chin-Yew Lin (CoRR, 2019)

Pre-Training with Whole Word Masking for Chinese BERT. - Yiming Cui 001; Wanxiang Che; Ting Liu 001; Bing Qin 001; Ziqing Yang 001; Shijin Wang 001; Guoping Hu (CoRR, 2019)

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2019)

An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. - Jiaqi Li 004; Ming Liu 004; Bing Qin 001; Zihao Zheng; Ting Liu 001 (CoRR, 2019)

Tag recommendation based on topic hierarchy of folksonomy. - Han Xue; Bing Qin 001; Ting Liu 001; Shen Liu (Int. J. Comput. Sci. Eng., 2019)

Negation scope detection with recurrent neural networks models in review texts. - Lydia Lazib; Yanyan Zhao; Bing Qin 001; Ting Liu 001 (Int. J. High Perform. Comput. Netw., 2019)

Content-based table retrieval for web queries. - Yibo Sun; Zhao Yan; Duyu Tang; Nan Duan; Bing Qin 001 (Neurocomputing, 2019)

Collective entity linking: a random walk-based perspective. - Ming Liu 004; Yanyan Zhao; Bing Qin 001; Ting Liu 001 (Knowl. Inf. Syst., 2019)

A Multi-View-Based Collective Entity Linking Method. - Ming Liu 004; Gu Gong; Bing Qin 001; Ting Liu 001 (ACM Trans. Inf. Syst., 2019)

Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. - Xiaocheng Feng; Yawei Sun; Bing Qin 001; Heng Gong; Yibo Sun; Wei Bi; Xiaojiang Liu; Ting Liu 001 (AAAI, 2020)

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. - Yibo Sun; Duyu Tang; Nan Duan; Yeyun Gong; Xiaocheng Feng; Bing Qin 001; Daxin Jiang (AAAI, 2020)

How Does Selective Mechanism Improve Self-Attention Networks? - Xinwei Geng; Longyue Wang; Xing Wang 007; Bing Qin 001; Ting Liu 001; Zhaopeng Tu (ACL, 2020)

Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. - Tianwen Jiang; Ning Zhang; Ming Liu 004; Meng Jiang 001; Ting Liu 001; Bing Qin 001 (BIBM, 2020)

TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. - Heng Gong; Yawei Sun; Xiaocheng Feng; Bing Qin 001; Wei Bi; Xiaojiang Liu; Ting Liu 001 (COLING, 2020)

Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. - Jiaqi Li 004; Ming Liu 004; Min-Yen Kan; Zihao Zheng; Zekun Wang 001; Wenqiang Lei; Ting Liu 001; Bing Qin 001 (COLING, 2020)

An Iterative Emotion Interaction Network for Emotion Recognition in Conversations. - Xin Lu; Yanyan Zhao; Yang Wu 010; Yijian Tian; Huipeng Chen; Bing Qin 001 (COLING, 2020)

Revisiting Pre-Trained Models for Chinese Natural Language Processing. - Yiming Cui 001; Wanxiang Che; Ting Liu 001; Bing Qin 001; Shijin Wang 001; Guoping Hu (EMNLP (Findings), 2020)

CodeBERT: A Pre-Trained Model for Programming and Natural Languages. - Zhangyin Feng; Daya Guo; Duyu Tang; Nan Duan; Xiaocheng Feng; Ming Gong 001; Linjun Shou; Bing Qin 001; Ting Liu 001; Daxin Jiang; Ming Zhou 001 (EMNLP (Findings), 2020)

Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. - Heng Gong; Wei Bi; Xiaocheng Feng; Bing Qin 001; Xiaojiang Liu; Ting Liu 001 (EMNLP (Findings), 2020)

Document-Level Event Subject Pair Recognition. - Zhenyu Hu; Ming Liu 004; Yin Wu; Jiexin Xu; Bing Qin 001; Jinlong Li (NLPCC (1), 2020)

A Passage-Level Text Similarity Calculation. - Ming Liu 004; Zihao Zheng; Bing Qin 001; Yitong Liu (NLPCC (1), 2020)

HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. - Xiao Ding; Dingkui Hao; Yuewei Zhang; Kuo Liao; Zhongyang Li; Bing Qin 001; Ting Liu 001 (SemEval@COLING, 2020)

Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2020)

Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (CoRR, 2020)

Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. - Sendong Zhao; Bing Qin 001; Ting Liu 001; Fei Wang 001 (CoRR, 2020)

Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001; Xinwei Geng; Ting Liu 001 (CoRR, 2020)

A syntactic path-based hybrid neural network for negation scope detection. - Lydia Lazib; Bing Qin 001; Yanyan Zhao; Weinan Zhang 003; Ting Liu 001 (Frontiers Comput. Sci., 2020)

Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences. - Xiaocheng Feng; Zhangyin Feng; Wanlong Zhao; Bing Qin 001; Ting Liu 001 (Mob. Networks Appl., 2020)

Deep Contextualized Word Embeddings for Universal Dependency Parsing. - Yijia Liu; Wanxiang Che; Yuxuan Wang 001; Bo Zheng 010; Bing Qin 001; Ting Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields. - Yijia Liu; Wanxiang Che; Bing Qin 001; Ting Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Joint Learning of Question Answering and Question Generation. - Yibo Sun; Duyu Tang; Nan Duan; Tao Qin 001; Shujie Liu 001; Zhao Yan; Ming Zhou 001; Yuanhua Lv; Wenpeng Yin 001; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (IEEE Trans. Knowl. Data Eng., 2020)

Learning Event Graph Knowledge for Abductive Reasoning. - Li Du; Xiao Ding; Ting Liu 001; Bing Qin 001 (ACL/IJCNLP (1), 2021)

ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. - Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (ACL/IJCNLP (1), 2021)

Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. - Xiachong Feng; Xiaocheng Feng; Libo Qin 001; Bing Qin 001; Ting Liu 001 (ACL/IJCNLP (1), 2021)

A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis. - Yang Wu 010; Zijie Lin; Yanyan Zhao; Bing Qin 001; Li-Nan Zhu (ACL/IJCNLP (Findings), 2021)

Knowledge Enhanced Target-Aware Stance Detection on Tweets. - Xin Zhang; Jianhua Yuan; Yanyan Zhao; Bing Qin 001 (CCKS, 2021)

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. - Yibo Sun; Jizhou Huang; Chunyuan Yuan; Miao Fan; Haifeng Wang 001; Ming Liu 004; Bing Qin 001 (CIKM, 2021)

Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001 (CCL, 2021)

Learning to Rewrite for Non-Autoregressive Neural Machine Translation. - Xinwei Geng; Xiaocheng Feng; Bing Qin 001 (EMNLP (1), 2021)

Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots. - Xin Lu; Yijian Tian; Yanyan Zhao; Bing Qin 001 (EMNLP (Findings), 2021)

Neural Natural Logic Inference for Interpretable Question Answering. - Jihao Shi; Xiao Ding; Li Du; Ting Liu 001; Bing Qin 001 (EMNLP (1), 2021)

Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. - Haichao Zhu; Zekun Wang 001; Heng Zhang; Ming Liu 004; Sendong Zhao; Bing Qin 001 (EMNLP (Findings), 2021)

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001; Xinwei Geng (IJCAI, 2021)

DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. - Jiaqi Li 004; Ming Liu 004; Zihao Zheng; Heng Zhang; Bing Qin 001; Min-Yen Kan; Ting Liu 001 (IJCNN, 2021)

Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis. - Yang Wu 010; Zhenyu Zhang; Yanyan Zhao; Bing Qin 001 (NLPCC (1), 2021)

An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification. - Weixiang Zhao; Yanyan Zhao; Xin Lu; Bing Qin 001 (NLPCC (2), 2021)

Heterogeneous graph knowledge enhanced stock market prediction. - Kai Xiong 002; Xiao Ding; Li Du; Ting Liu 001; Bing Qin 001 (AI Open, 2021)

Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. - Xiao Ding; Jihao Shi; Junwen Duan; Bing Qin 001; Ting Liu 001 (Sci. China Inf. Sci., 2021)

Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. - Jianhua Yuan; Yanyan Zhao; Bing Qin 001; Ting Liu 001 (CoRR, 2021)

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. - Yi-Chong Huang; Xiachong Feng; Xiaocheng Feng; Bing Qin 001 (CoRR, 2021)

CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. - Zhongyang Li; Xiao Ding; Kuo Liao; Ting Liu 001; Bing Qin 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)

Modeling Incongruity between Modalities for Multimodal Sarcasm Detection. - Yang Wu 010; Yanyan Zhao; Xin Lu; Bing Qin 001; Yin Wu; Jian Sheng; Jinlong Li (IEEE Multim., 2021)

Learning number reasoning for numerical table-to-text generation. - Xiaocheng Feng; Heng Gong; Yuyu Chen; Yawei Sun; Bing Qin 001; Wei Bi; Xiaojiang Liu; Ting Liu 001 (Int. J. Mach. Learn. Cybern., 2021)

Pre-Training With Whole Word Masking for Chinese BERT. - Yiming Cui 001; Wanxiang Che; Ting Liu 001; Bing Qin 001; Ziqing Yang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Biomedical Knowledge Graphs Construction From Conditional Statements. - Tianwen Jiang; Qingkai Zeng 001; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001 (DialDoc@ACL, 2022)

A Graph Enhanced BERT Model for Event Prediction. - Li Du; Xiao Ding; Yue Zhang 004; Ting Liu 001; Bing Qin 001 (ACL (Findings), 2022)

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. - Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (ACL (1), 2022)

Improving Controllable Text Generation with Position-Aware Weighted Decoding. - Yuxuan Gu; Xiaocheng Feng; Sicheng Ma; Jiaming Wu; Heng Gong; Bing Qin 001 (ACL (Findings), 2022)

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. - Yang Wu 010; Yanyan Zhao; Hao Yang; Song Chen; Bing Qin 001; Xiaohuan Cao; Wenting Zhao 006 (ACL (Findings), 2022)

CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. - Yirong Zeng; Xiao Ding; Li Du; Ting Liu 001; Bing Qin 001 (CCKS, 2022)

CogBERT: Cognition-Guided Pre-trained Language Models. - Xiao Ding; Bowen Chen 001; Li Du; Bing Qin 001; Ting Liu 001 (COLING, 2022)

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. - Haochun Wang; Chi Liu; Nuwa Xi; Sendong Zhao; Meizhi Ju; Shiwei Zhang; Ziheng Zhang; Yefeng Zheng 001; Bing Qin 001; Ting Liu 001 (COLING, 2022)

SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection. - Jianhua Yuan; Yanyan Zhao; Yanyue Lu; Bing Qin 001 (COLING, 2022)

MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations. - Weixiang Zhao; Yanyan Zhao; Bing Qin 001 (COLING, 2022)

A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. - Jianzhu Bao; Yuhang He; Yang Sun; Bin Liang 004; Jiachen Du; Bing Qin 001; Min Yang 007; Ruifeng Xu 001 (EMNLP, 2022)

A Distributional Lens for Multi-Aspect Controllable Text Generation. - Yuxuan Gu; Xiaocheng Feng; Sicheng Ma; Lingyuan Zhang; Heng Gong; Bing Qin 001 (EMNLP, 2022)

Unifying the Convergences in Multilingual Neural Machine Translation. - Yi-Chong Huang; Xiaocheng Feng; Xinwei Geng; Bing Qin 001 (EMNLP, 2022)

Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. - Xuan Luo; Chuang Fan; Yice Zhang; Wanguo Jiang; Bing Qin 001; Ruifeng Xu 001 (EMNLP (Findings), 2022)

Distilled Dual-Encoder Model for Vision-Language Understanding. - Zekun Wang 001; Wenhui Wang 003; Haichao Zhu; Ming Liu 004; Bing Qin 001; Furu Wei (EMNLP, 2022)

STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. - Tingting Wu; Xiao Ding; Minji Tang; Hao Zhang 016; Bing Qin 001; Ting Liu 001 (EMNLP, 2022)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. - Kai Xiong 002; Xiao Ding; Zhongyang Li; Li Du; Ting Liu 001; Bing Qin 001; Yi Zheng; Baoxing Huai (EMNLP, 2022)

Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis. - Hao Yang; Yanyan Zhao; Bing Qin 001 (EMNLP, 2022)

A Survey on Dialogue Summarization: Recent Advances and New Frontiers. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001 (IJCAI, 2022)

Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition. - Yang Wu 010; Zhenyu Zhang; Pai Peng; Yanyan Zhao; Bing Qin 001 (MuSe @ ACM Multimedia, 2022)

Masking and Generation: An Unsupervised Method for Sarcasm Detection. - Rui Wang 092; Qianlong Wang 001; Bin Liang 004; Yi Chen 019; Zhiyuan Wen; Bing Qin 001; Ruifeng Xu 001 (SIGIR, 2022)

OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. - Yi-Chong Huang; Xiaocheng Feng; Xinwei Geng; Bing Qin 001 (CoRR, 2022)

A Graph Enhanced BERT Model for Event Prediction. - Li Du; Xiao Ding; Yue Zhang 004; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (CoRR, 2022)

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. - Yanrui Du; Jing Yan 004; Yan Chen; Jing Liu 022; Sendong Zhao; Hua Wu 003; Haifeng Wang 001; Bing Qin 001 (CoRR, 2022)

MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations. - Hao Yang; Yanyan Zhao; Jianwei Liu; Yang Wu 010; Bing Qin 001 (CoRR, 2022)

VEM2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. - Tao He; Tianwen Jiang; Zihao Zheng; Haichao Zhu; Jingrun Zhang; Ming Liu 004; Sendong Zhao; Bing Qin 001 (CoRR, 2022)

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. - Tingting Wu; Xiao Ding; Hao Zhang 016; Jinglong Gao; Li Du; Bing Qin 001; Ting Liu 001 (CoRR, 2022)

Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? - Bowen Chen 001; Xiao Ding; Li Du; Bing Qin 001; Ting Liu 001 (CoRR, 2022)

Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition. - Pengfei Deng; Jianhua Yuan; Yanyan Zhao; Bing Qin 001 (CoRR, 2022)

An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition. - Yang Wu 010; Pai Peng; Zhenyu Zhang; Yanyan Zhao; Bing Qin 001 (CoRR, 2022)

Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia. - Haojie Pan; Yuzhou Zhang; Zepeng Zhai; Ruiji Fu; Ming Liu 004; Yangqiu Song; Zhongyuan Wang 006; Bing Qin 001 (CoRR, 2022)

BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations. - Ming Liu 004; Yaojia Lv; Jingrun Zhang; Ruiji Fu; Bing Qin 001 (CoRR, 2022)

Controllable Text Generation via Probability Density Estimation in the Latent Space. - Yuxuan Gu; Xiaocheng Feng; Sicheng Ma; Lingyuan Zhang; Heng Gong; Bing Qin 001 (CoRR, 2022)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. - Kai Xiong 002; Xiao Ding; Zhongyang Li; Li Du; Bing Qin 001; Yi Zheng; Baoxing Huai (CoRR, 2022)

Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning. - Jianhua Yuan; Yanyan Zhao; Bing Qin 001 (CoRR, 2022)

A survey of discourse parsing. - Jiaqi Li 004; Ming Liu 004; Bing Qin 001; Ting Liu 001 (Frontiers Comput. Sci., 2022)

Enhancing pretrained language models with structured commonsense knowledge for textual inference. - Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (Knowl. Based Syst., 2022)

Learning to refine source representations for neural machine translation. - Xinwei Geng; Longyue Wang; Xing Wang 007; Mingtao Yang; Xiaocheng Feng; Bing Qin 001; Zhaopeng Tu (Int. J. Mach. Learn. Cybern., 2022)

Learning to share by masking the non-shared for multi-domain sentiment classification. - Jianhua Yuan; Yanyan Zhao; Bing Qin 001 (Int. J. Mach. Learn. Cybern., 2022)

Interactive Gated Decoder for Machine Reading Comprehension. - Yiming Cui 001; Wanxiang Che; Ziqing Yang 001; Ting Liu 001; Bing Qin 001; Shijin Wang 001; Guoping Hu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. - Haichao Zhu; Li Dong 004; Furu Wei; Bing Qin 001; Ting Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Structural and Textual Information Fusion for Symptom and Disease Representation Learning. - Sendong Zhao; Meng Jiang 001; Bing Qin 001; Ting Liu 001; ChengXiang Zhai; Fei Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Biomedical evidence engineering for data-driven discovery. - Sendong Zhao; Aobo Wang; Bing Qin 001; Fei Wang 001 (Bioinform., 2022)

Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. - Bibo Cai; Xiao Ding; Zhouhao Sun; Bing Qin 001; Ting Liu 001; Baojun Wang; Lifeng Shang (AAAI, 2023)

Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. - Weixiang Zhao; Yanyan Zhao; Zhuojun Li; Bing Qin 001 (AAAI, 2023)

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. - Weihong Zhong; Mao Zheng; Duyu Tang; Xuan Luo; Heng Gong; Xiaocheng Feng; Bing Qin 001 (AAAI, 2023)

Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. - Li Du; Xiao Ding; Zhouhao Sun; Ting Liu 001; Bing Qin 001; Jingshuo Liu (ACL (1), 2023)

Improved Visual Story Generation with Adaptive Context Modeling. - Zhangyin Feng; Yuchen Ren 005; Xinmiao Yu; Xiaocheng Feng; Duyu Tang; Shuming Shi 001; Bing Qin 001 (ACL (Findings), 2023)

Controllable Text Generation via Probability Density Estimation in the Latent Space. - Yuxuan Gu; Xiaocheng Feng; Sicheng Ma; Lingyuan Zhang; Heng Gong; Weihong Zhong; Bing Qin 001 (ACL (1), 2023)

Towards Higher Pareto Frontier in Multilingual Machine Translation. - Yi-Chong Huang; Xiaocheng Feng; Xinwei Geng; Baohang Li; Bing Qin 001 (ACL (1), 2023)

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. - Tingting Wu; Xiao Ding; Minji Tang; Hao Zhang 016; Bing Qin 001; Ting Liu 001 (ACL (Findings), 2023)

UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. - Nuwa Xi; Sendong Zhao; Haochun Wang; Chi Liu; Bing Qin 001; Ting Liu 001 (ACL (1), 2023)

An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. - Yice Zhang; Yifan Yang 005; Bin Liang 004; Shiwei Chen; Bing Qin 001; Ruifeng Xu 001 (ACL (Findings), 2023)

Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. - Weixiang Zhao; Yanyan Zhao; Xin Lu; Bing Qin 001 (ACL (Findings), 2023)

TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. - Weixiang Zhao; Yanyan Zhao; Shilong Wang 003; Bing Qin 001 (ACL (Findings), 2023)

A Diffusion Model for Event Skeleton Generation. - Fangqi Zhu; Lin Zhang; Jun Gao; Bing Qin 001; Ruifeng Xu 001; Haiqin Yang (ACL (Findings), 2023)

Improving Affective Event Classification with Multi-perspective Knowledge Injection. - Wenjia Yi; Yanyan Zhao; Jianhua Yuan; Weixiang Zhao; Bing Qin 001 (CCL, 2023)

Hierarchical Catalogue Generation for Literature Review: A Benchmark. - Kun Zhu 025; Xiaocheng Feng; Xiachong Feng; Yingsheng Wu; Bing Qin 001 (EMNLP (Findings), 2023)

In-context Learning for Few-shot Multimodal Named Entity Recognition. - Chenran Cai; Qianlong Wang 001; Bin Liang 004; Bing Qin 001; Min Yang 007; Kam-Fai Wong; Ruifeng Xu 001 (EMNLP (Findings), 2023)

MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. - Zheng Chu; Zekun Wang 001; Jiafeng Liang; Ming Liu 004; Bing Qin 001 (EMNLP (Findings), 2023)

Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. - Yanrui Du; Sendong Zhao; Haochun Wang; Yuhan Chen 002; Rui Bai; Zewen Qiang; Muzhen Cai; Bing Qin 001 (EMNLP (Findings), 2023)

Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. - Chengpeng Fu; Xiaocheng Feng; Yichong Huang; Wenshuai Huo; Hui Wang; Bing Qin 001; Ting Liu 001 (EMNLP (Findings), 2023)

Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. - Jinglong Gao; Xiao Ding; Bing Qin 001; Ting Liu 001 (EMNLP (Findings), 2023)

An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. - Geng Tu; Bin Liang 004; Bing Qin 001; Kam-Fai Wong; Ruifeng Xu 001 (EMNLP (Findings), 2023)

C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health. - Bichen Wang; Pengfei Deng; Yanyan Zhao; Bing Qin 001 (EMNLP (Findings), 2023)

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Ting Liu 001; Bing Qin 001 (EMNLP (Findings), 2023)

Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. - Fangqi Zhu; Yongqi Zhang; Lei Chen 072; Bing Qin 001; Ruifeng Xu 001 (EMNLP, 2023)

Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. - Jie Huang; Xiachong Feng; Yangfan Ye; Liang Zhao; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (ICASSP, 2023)

A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations. - Xin Lu; Weixiang Zhao; Yanyan Zhao; Bing Qin 001; Zhentao Zhang; Junjie Wen (ICASSP, 2023)

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. - Yanrui Du; Jing Yan 004; Yan Chen; Jing Liu 022; Sendong Zhao; Qiaoqiao She; Hua Wu 003; Haifeng Wang 001; Bing Qin 001 (IJCAI, 2023)

GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. - Jiafeng Liang; Yuxin Wang 002; Zekun Wang 001; Ming Liu 004; Ruiji Fu; Zhongyuan Wang 006; Bing Qin 001 (IJCAI, 2023)

Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling. - Chenran Cai; Qin Zhao; Ruifeng Xu 001; Bing Qin 001 (NLPCC (3), 2023)

Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling. - Chenran Cai; Qin Zhao; Ruifeng Xu 001; Bing Qin 001 (NLPCC (3), 2023)

Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning. - Chi Liu; Haochun Wang; Nuwa Xi; Sendong Zhao; Bing Qin 001 (NLPCC (1), 2023)

An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition. - Yang Wu 010; Pai Peng; Zhenyu Zhang; Yanyan Zhao; Bing Qin 001 (PRCV (7), 2023)

HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level. - Xin Lu; Zhuojun Li; Yanpeng Tong; Yanyan Zhao; Bing Qin 001 (WASSA@ACL, 2023)

Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. - Zhenran Xu; Zifei Shan; Yuxin Li; Baotian Hu; Bing Qin 001 (WSDM, 2023)

Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001 (CoRR, 2023)

Global Prompt Cell: A Portable Control Module for Effective Prompt. - Chi Liu; Haochun Wang; Nuwa Xi; Sendong Zhao; Bing Qin 001 (CoRR, 2023)

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. - Haochun Wang; Chi Liu; Nuwa Xi; Zewen Qiang; Sendong Zhao; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

Is ChatGPT Equipped with Emotional Dialogue Capabilities? - Weixiang Zhao; Yanyan Zhao; Xin Lu; Shilong Wang 003; Yanpeng Tong; Bing Qin 001 (CoRR, 2023)

The Role of Summarization in Generative Agents: A Preliminary Perspective. - Xiachong Feng; Xiaocheng Feng; Bing Qin 001 (CoRR, 2023)

Improving Cross-Task Generalization with Step-by-Step Instructions. - Yang Wu 010; Yanyan Zhao; Zhongyang Li; Bing Qin 001; Kai Xiong 002 (CoRR, 2023)

Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Ting Liu 001; Bing Qin 001 (CoRR, 2023)

UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. - Hao Yang; Can Gao; Hao Liu 026; Xinyan Xiao; Yanyan Zhao; Bing Qin 001 (CoRR, 2023)

SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. - Zekun Wang 001; Jingchang Chen; Wangchunshu Zhou; Ming Liu 004; Bing Qin 001 (CoRR, 2023)

Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. - Tao He; Ming Liu 004; Yixin Cao 002; Zekun Wang 001; Zihao Zheng; Zheng Chu; Bing Qin 001 (CoRR, 2023)

GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue. - Yanrui Du; Sendong Zhao; Yuhan Chen 002; Rai Bai; Jing Liu 022; Hua Wu 003; Haifeng Wang 001; Bing Qin 001 (CoRR, 2023)

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. - Haochun Wang; Sendong Zhao; Zewen Qiang; Zijian Li 020; Nuwa Xi; Yanrui Du; Muzhen Cai; Haoqiang Guo; Yuhan Chen 002; Haoming Xu; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature. - Yanrui Du; Sendong Zhao; Muzhen Cai; Jianyu Chen; Haochun Wang; Yuhan Chen 002; Haoqiang Guo; Bing Qin 001 (CoRR, 2023)

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. - Zheng Chu; Jingchang Chen; Qianglong Chen; Weijiang Yu; Tao He; Haotian Wang 007; Weihua Peng; Ming Liu 004; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

An Early Evaluation of GPT-4V(ision). - Yang Wu 010; Shilong Wang 003; Hao Yang; Tian Zheng; Hongbo Zhang; Yanyan Zhao; Bing Qin 001 (CoRR, 2023)

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. - Zhangyin Feng; Weitao Ma; Weijiang Yu; Lei Huang 021; Haotian Wang 007; Qianglong Chen; Weihua Peng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak. - Yanrui Du; Sendong Zhao; Ming Ma; Yuhan Chen 002; Bing Qin 001 (CoRR, 2023)

KwaiAgents: Generalized Information-seeking Agent System with Large Language Models. - Haojie Pan; Zepeng Zhai; Hao Yuan; Yaojia Lv; Ruiji Fu; Ming Liu 004; Zhongyuan Wang 006; Bing Qin 001 (CoRR, 2023)

Emage: Non-Autoregressive Text-to-Image Generation. - Zhangyin Feng; Runyi Hu; Liangxin Liu; Fan Zhang 092; Duyu Tang; Yong Dai 001; Xiaocheng Feng; Jiwei Li; Bing Qin 001; Shuming Shi 001 (CoRR, 2023)

Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding. - Liang Zhao; Xiaocheng Feng; Xiachong Feng; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

TAGNet: a tiny answer-guided network for conversational question generation. - Zekun Wang 001; Haichao Zhu; Ming Liu 004; Bing Qin 001 (Int. J. Mach. Learn. Cybern., 2023)

A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network. - Jiaqi Li 004; Ming Liu 004; Yuxin Wang 002; Daxing Zhang; Bing Qin 001 (Cogn. Syst. Res., 2023)

From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. - Yuhan Chen 002; Nuwa Xi; Yanrui Du; Haochun Wang; Jianyu Chen; Sendong Zhao; Bing Qin 001 (AAAI, 2024)

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. - Haoqiang Guo; Sendong Zhao; Haochun Wang; Yanrui Du; Bing Qin 001 (AAAI, 2024)

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. - Haochun Wang; Sendong Zhao; Chi Liu; Nuwa Xi; Muzhen Cai; Bing Qin 001; Ting Liu 001 (AAAI, 2024)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuxuan Gu; Weihong Zhong; Xiachong Feng; Weijiang Yu; Weihua Peng; Duyu Tang; Dandan Tu; Bing Qin 001 (ACL (Findings), 2024)

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. - Kun Zhu 025; Xiaocheng Feng; Xiyuan Du; Yuxuan Gu; Weijiang Yu; Haotian Wang 007; Qianglong Chen; Zheng Chu; Jingchang Chen; Bing Qin 001 (ACL (1), 2024)

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. - Zheng Chu; Jingchang Chen; Qianglong Chen; Haotian Wang 007; Kun Zhu 025; Xiyuan Du; Weijiang Yu; Ming Liu 004; Bing Qin 001 (ACL (1), 2024)

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. - Zheng Chu; Jingchang Chen; Qianglong Chen; Weijiang Yu; Haotian Wang 007; Ming Liu 004; Bing Qin 001 (ACL (1), 2024)

Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. - Zheng Chu; Jingchang Chen; Qianglong Chen; Weijiang Yu; Tao He; Haotian Wang 007; Weihua Peng; Ming Liu 004; Bing Qin 001; Ting Liu 001 (ACL (1), 2024)

Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. - Jinglong Gao; Xiao Ding; Yiming Cui 001; Jianbai Zhao; Hepeng Wang; Ting Liu 001; Bing Qin 001 (ACL (1), 2024)

Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. - Yuhang He; Jianzhu Bao; Yang Sun; Bin Liang 004; Min Yang 007; Bing Qin 001; Ruifeng Xu 001 (ACL (Findings), 2024)

Planning Like Human: A Dual-process Framework for Dialogue Planning. - Tao He; Lizi Liao; Yixin Cao 002; Yuanxing Liu 001; Ming Liu 004; Zerui Chen; Bing Qin 001 (ACL (1), 2024)

Causal-Guided Active Learning for Debiasing Large Language Models. - Zhouhao Sun; Li Du; Xiao Ding; Yixuan Ma; Yang Zhao 023; Kaitao Qiu; Ting Liu 001; Bing Qin 001 (ACL (1), 2024)

AS-ES Learning: Towards efficient CoT learning in small models. - Nuwa Xi; Yuhan Chen 002; Sendong Zhao; Haochun Wang; GongZhang GongZhang; Bing Qin 001; Ting Liu 001 (ACL (Findings), 2024)

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. - Hongling Xu; Qianlong Wang 001; Yice Zhang; Min Yang 007; Xi Zeng; Bing Qin 001; Ruifeng Xu 001 (ACL (Findings), 2024)

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Zhouhao Sun; Shi Jun; Ting Liu 001; Bing Qin 001 (ACL (Findings), 2024)

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. - Weixiang Zhao; Zhuojun Li; Shilong Wang 003; Yang Wang; Yulin Hu; Yanyan Zhao; Chen Wei; Bing Qin 001 (ACL (Findings), 2024)

SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. - Weixiang Zhao; Shilong Wang 003; Yulin Hu; Yanyan Zhao; Bing Qin 001; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (ACL (1), 2024)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. - Weihong Zhong; Xiaocheng Feng; Liang Zhao; Qiming Li; Lei Huang 021; Yuxuan Gu; Weitao Ma; Yuan Xu; Bing Qin 001 (ACL (1), 2024)

CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark. - Zijian Li 020; Sendong Zhao; Haochun Wang; Haoming Xu; Bing Qin 001; Ting Liu 001 (BIBM, 2024)

Probing the Dual Logic Ability of Privatized Medical-Domain LLMs. - Yanrui Du; Sendong Zhao; Muzhen Cai; Ming Ma; Danyang Zhao; Jiawei Cao; Bing Qin 001 (BIBM, 2024)

Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media. - Bichen Wang; Yixin Sun; Yuzhe Zi; Yanyan Zhao; Bing Qin 001 (BIBM, 2024)

Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation. - Wenshuai Huo; Xiaocheng Feng; Yichong Huang; Chengpeng Fu; Hui Wang; Bing Qin 001 (LREC/COLING, 2024)

Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. - Zhouhao Sun; Xiao Ding; Li Du; Bibo Cai; Jinglong Gao; Ting Liu 001; Bing Qin 001 (LREC/COLING, 2024)

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. - Zekun Wang 001; Jingchang Chen; Wangchunshu Zhou; Haichao Zhu; Jiafeng Liang; Liping Shan; Ming Liu 004; Dongliang Xu; Qing Yang 033; Bing Qin 001 (LREC/COLING, 2024)

ESDM: Early Sensing Depression Model in Social Media Streams. - Bichen Wang; Yuzhe Zi; Yanyan Zhao; Pengfei Deng; Bing Qin 001 (LREC/COLING, 2024)

RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. - Yirong Zeng; Xiao Ding; Yi Zhao; Xiangyu Li; Jie Zhang; Chao Yao; Ting Liu 001; Bing Qin 001 (LREC/COLING, 2024)

Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. - Zihao Zheng; Zihan Zhang; Zexin Wang; Ruiji Fu; Ming Liu 004; Zhongyuan Wang 006; Bing Qin 001 (LREC/COLING, 2024)

Advancing Large Language Model Attribution through Self-Improving. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Liang Zhao; Yuchun Fan; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

BC-Prover: Backward Chaining Prover for Formal Theorem Proving. - Yuhang He; Jihai Zhang 001; Jianzhu Bao; Fangquan Lin; Cheng Yang 008; Bing Qin 001; Ruifeng Xu 001; Wotao Yin (EMNLP, 2024)

Aligning Translation-Specific Understanding to General Understanding in Large Language Models. - Yichong Huang; Baohang Li; Xiaocheng Feng; Wenshuai Huo; Chengpeng Fu; Ting Liu 001; Bing Qin 001 (EMNLP, 2024)

Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models. - Shixin Jiang; Zerui Chen; Jiafeng Liang; Yanyan Zhao; Ming Liu 004; Bing Qin 001 (EMNLP (Findings), 2024)

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. - Yaojia Lv; Haojie Pan; Zekun Wang 001; Jiafeng Liang; Yuanxing Liu 001; Ruiji Fu; Ming Liu 004; Zhongyuan Wang 006; Bing Qin 001 (EMNLP (Findings), 2024)

Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis. - Guo Tang; Zheng Chu; Wenxiang Zheng; Ming Liu 004; Bing Qin 001 (EMNLP (Findings), 2024)

Extending Context Window of Large Language Models from a Distributional Perspective. - Yingsheng Wu; Yuxuan Gu; Xiaocheng Feng; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. - Yangfan Ye; Xiachong Feng; Xiaocheng Feng; Weitao Ma; Libo Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. - Liang Zhao; Xiachong Feng; Xiaocheng Feng; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001; Ting Liu 001 (EMNLP (Findings), 2024)

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. - Zhangyin Feng; Yong Dai 001; Fan Zhang 092; Duyu Tang; Xiaocheng Feng; Shuangzhi Wu; Bing Qin 001; Yunbo Cao; Shuming Shi 001 (ICASSP, 2024)

Retrieval-Generation Synergy Augmented Large Language Models. - Zhangyin Feng; Xiaocheng Feng; Dezhi Zhao; Maojin Yang; Bing Qin 001 (ICASSP, 2024)

Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction. - Zihao Zheng; Tao He; Ming Liu 004; Zhongyuan Wang 006; Ruiji Fu; Bing Qin 001 (ICASSP, 2024)

Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media. - Bichen Wang; Pengfei Deng; Song Chen; Yanyan Zhao; Bing Qin 001 (ICWSM, 2024)

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. - Jiafeng Liang; Shixin Jiang; Zekun Wang 001; Haojie Pan; Zerui Chen; Zheng Chu; Ming Liu 004; Ruiji Fu; Zhongyuan Wang 006; Bing Qin 001 (IJCAI, 2024)

Fusion Pruning for Large Language Models. - Shixin Jiang; Ming Liu 004; Bing Qin 001 (ISCSLP, 2024)

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (NeurIPS, 2024)

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. - Jingchang Chen; Hongxuan Tang; Zheng Chu; Qianglong Chen; Zekun Wang 001; Ming Liu 004; Bing Qin 001 (NeurIPS, 2024)

MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability. - Yanrui Du; Sendong Zhao; Danyang Zhao; Ming Ma; Yuhan Chen 002; Liangyu Huo; Qing Yang 033; Dongliang Xu; Bing Qin 001 (NeurIPS, 2024)

Discrete Modeling via Boundary Conditional Diffusion Processes. - Yuxuan Gu; Xiaocheng Feng; Lei Huang 021; Yingsheng Wu; Zekun Zhou; Weihong Zhong; Kun Zhu 025; Bing Qin 001 (NeurIPS, 2024)

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. - Yichong Huang; Xiaocheng Feng; Baohang Li; Yang Xiang; Hui Wang; Ting Liu 001; Bing Qin 001 (NeurIPS, 2024)

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers. - Xin Lu; Yanyan Zhao; Bing Qin 001; Liangyu Huo; Qing Yang 033; Dongliang Xu (NeurIPS, 2024)

Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. - Jinglong Gao; Chen Lu; Xiao Ding; Zhongyang Li; Ting Liu 001; Bing Qin 001 (NLPCC (4), 2024)

SCIR-MT's Submission for WMT24 General Machine Translation Task. - Baohang Li; Zekai Ye; Yichong Huang; Xiaocheng Feng; Bing Qin 001 (WMT, 2024)

DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. - Weixiang Zhao; Shilong Wang 003; Yulin Hu; Yanyan Zhao; Bing Qin 001; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (CoRR, 2024)

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. - Yaojia Lv; Haojie Pan; Ruiji Fu; Ming Liu 004; Zhongyuan Wang 006; Bing Qin 001 (CoRR, 2024)

Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. - Haochun Wang; Sendong Zhao; Zewen Qiang; Nuwa Xi; Bing Qin 001; Ting Liu 001 (CoRR, 2024)

Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. - Haochun Wang; Sendong Zhao; Zewen Qiang; Bing Qin 001; Ting Liu 001 (CoRR, 2024)

Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Zhouhao Sun; Jun Shi; Ting Liu 001; Bing Qin 001 (CoRR, 2024)

AS-ES Learning: Towards Efficient CoT Learning in Small Models. - Nuwa Xi; Yuhan Chen 002; Sendong Zhao; Haochun Wang; Bing Qin 001; Ting Liu 001 (CoRR, 2024)

Vanilla Transformers are Transfer Capability Teachers. - Xin Lu; Yanyan Zhao; Bing Qin 001 (CoRR, 2024)

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models. - Xin Lu; Yanyan Zhao; Bing Qin 001 (CoRR, 2024)

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (CoRR, 2024)

Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. - Yichong Huang; Xiaocheng Feng; Baohang Li; Yang Xiang; Hui Wang; Bing Qin 001; Ting Liu 001 (CoRR, 2024)

Relay Decoding: Concatenating Large Language Models for Machine Translation. - Chengpeng Fu; Xiaocheng Feng; Yichong Huang; Wenshuai Huo; Baohang Li; Hui Wang; Bing Qin 001; Ting Liu 001 (CoRR, 2024)

Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. - Weixiang Zhao; Yulin Hu; Zhuojun Li; Yang Deng 002; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua (CoRR, 2024)

MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. - Yanrui Du; Sendong Zhao; Danyang Zhao; Ming Ma; Yuhan Chen 002; Liangyu Huo; Qing Yang 033; Dongliang Xu; Bing Qin 001 (CoRR, 2024)

RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models. - Bichen Wang; Yuzhe Zi; Yixin Sun; Yanyan Zhao; Bing Qin 001 (CoRR, 2024)

Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey. - Hao Yang; Yanyan Zhao; Yang Wu 010; Shilong Wang 003; Tian Zheng; Hongbo Zhang; Wanxiang Che; Bing Qin 001 (CoRR, 2024)

Rethinking Entity-level Unlearning for Large Language Models. - Weitao Ma; Xiaocheng Feng; Weihong Zhong; Lei Huang 021; Yangfan Ye; Bing Qin 001 (CoRR, 2024)

MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. - Muzhen Cai; Sendong Zhao; Haochun Wang; Yanrui Du; Zewen Qiang; Bing Qin 001; Ting Liu 001 (CoRR, 2024)

Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. - Kai Xiong 002; Xiao Ding; Li Du; Jiahao Ying; Ting Liu 001; Bing Qin 001; Yixin Cao 002 (CoRR, 2024)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Huiming Fan; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (CoRR, 2024)

Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (CoRR, 2024)

CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought. - Yexing Du; Ziyang Ma 001; Yifan Yang 005; Keqi Deng; Xie Chen 001; Bo Yang 006; Yang Xiang; Ming Liu 004; Bing Qin 001 (CoRR, 2024)

Lens: Rethinking Multilingual Enhancement for Large Language Models. - Weixiang Zhao; Yulin Hu; Jiahe Guo; Xingyu Sui; Tongtong Wu; Yang Deng 002; Yanyan Zhao; Bing Qin 001; Wanxiang Che; Ting Liu 001 (CoRR, 2024)

Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. - Yanrui Du; Sendong Zhao; Jiawei Cao; Ming Ma; Danyang Zhao; Fenglei Fan; Ting Liu 001; Bing Qin 001 (CoRR, 2024)

Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis. - Hao Yang; Zhenyu Zhang; Yanyan Zhao; Bing Qin 001 (CoRR, 2024)

From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality. - Shixin Jiang; Jiafeng Liang; Ming Liu 004; Bing Qin 001 (CoRR, 2024)

XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation. - Yangfan Ye; Xiaocheng Feng; Xiachong Feng; Libo Qin 001; Yichong Huang; Lei Huang 021; Weitao Ma; Zhirui Zhang; Yunfei Lu; Xiaohui Yan; Duyu Tang; Dandan Tu; et al. (CoRR, 2024)

Length Controlled Generation for Black-box LLMs. - Yuxuan Gu; Wenjie Wang; Xiaocheng Feng; Weihong Zhong; Kun Zhu 025; Lei Huang 021; Tat-Seng Chua; Bing Qin 001 (CoRR, 2024)

Ensuring Consistency for In-Image Translation. - Chengpeng Fu; Xiaocheng Feng; Yichong Huang; Wenshuai Huo; Baohang Li; Zhirui Zhang; Yunfei Lu; Dandan Tu; Duyu Tang; Hui Wang; Bing Qin 001; Ting Liu 001 (CoRR, 2024)

VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. - Tao He; Ming Liu 004; Yixin Cao 002; Meng Qu; Zihao Zheng; Bing Qin 001 (Data Min. Knowl. Discov., 2024)

A multi-task framework based on decomposition for multimodal named entity recognition. - Chenran Cai; Qianlong Wang 001; Bing Qin 001; Ruifeng Xu 001 (Neurocomputing, 2024)

Event Causality Identification via Competitive-Cooperative Cognition Networks. - Jinglong Gao; Xiao Ding; Zhongyang Li; Ting Liu 001; Bing Qin 001 (Knowl. Based Syst., 2024)

Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. - Tingting Wu; Xiao Ding; Hao Zhang 016; Minji Tang; Bing Qin 001; Ting Liu 001 (Neural Networks, 2024)

Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. - Qianlong Wang 001; Hongling Xu; Zhiyuan Wen; Bin Liang 004; Min Yang 007; Bing Qin 001; Ruifeng Xu 001 (IEEE Trans. Affect. Comput., 2024)

Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization. - Xiachong Feng; Xiaocheng Feng; Xiyuan Du; Min-Yen Kan; Bing Qin 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. - Tingting Wu; Xiao Ding; Hao Zhang 016; Jinglong Gao; Minji Tang; Li Du; Bing Qin 001; Ting Liu 001 (IEEE Trans. Multim., 2024)

Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? - Bowen Chen 001; Xiao Ding; Yi Zhao; Bo Fu; Tingmao Lin; Bing Qin 001; Ting Liu 001 (Mach. Intell. Res., 2024)

Reasoning subevent relation over heterogeneous event graph. - Tingting Wu; Xiao Ding; Li Du; Bing Qin 001; Ting Liu 001 (Knowl. Inf. Syst., 2024)

Pretraining without wordpieces: learning over a vocabulary of millions of words. - Zhangyin Feng; Duyu Tang; Xiaocheng Feng; Cong Zhou; Junwei Liao; Shuangzhi Wu; Bing Qin 001; Yunbo Cao; Shuming Shi 001 (Int. J. Mach. Learn. Cybern., 2024)

MACSA: A multimodal aspect-category sentiment analysis dataset with multimodal fine-grained aligned annotations. - Hao Yang; Zhengming Si; Yanyan Zhao; Jianwei Liu; Yang Wu 010; Bing Qin 001 (Multim. Tools Appl., 2024)

Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. - Yanrui Du; Sendong Zhao; Ming Ma; Yuhan Chen 002; Bing Qin 001 (AAAI, 2025)

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. - Tao He; Lizi Liao; Yixin Cao 002; Yuanxing Liu 001; Yiheng Sun; Zerui Chen; Ming Liu 004; Bing Qin 001 (AAAI, 2025)

Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning. - Wenshuai Huo; Xiaocheng Feng; Yichong Huang; Chengpeng Fu; Baohang Li; Yangfan Ye; Zhirui Zhang; Dandan Tu; Duyu Tang; Yunfei Lu; Hui Wang; Bing Qin 001 (AAAI, 2025)

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. - Xinmiao Yu; Xiaocheng Feng; Yun Li; Minghui Liao; Ya-Qi Yu; Xiachong Feng; Weihong Zhong; Ruihan Chen; Mengkang Hu; Jihao Wu; Duyu Tang; Dandan Tu; et al. (AAAI, 2025)

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models. - Zekun Wang 001; Minghua Ma; Zexin Wang; Rongchuan Mu; Liping Shan; Ming Liu 004; Bing Qin 001 (ACL (1), 2025)

Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yuxiong Yan; Li Du; Yufei Zhang; Jinglong Gao; Jiaqian Liu; Bing Qin 001; Ting Liu 001 (ACL (1), 2025)

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering. - Zheng Chu; Huiming Fan; Jingchang Chen; Qianyu Wang; Mingda Yang; Jiafeng Liang; Zhongjie Wang 003; Hao Li; Guo Tang; Ming Liu 004; Bing Qin 001 (ACL (Findings), 2025)

Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning. - Yexing Du; Youcheng Pan; Ziyang Ma 001; Bo Yang 006; Yifan Yang 005; Keqi Deng; Xie Chen 001; Yang Xiang; Ming Liu 004; Bing Qin 001 (ACL (1), 2025)

ExpeTrans: LLMs Are Experiential Transfer Learners. - Jinglong Gao; Xiao Ding; Lingxiao Zou; Bibo Cai; Bing Qin 001; Ting Liu 001 (ACL (1), 2025)

Length Controlled Generation for Black-box LLMs. - Yuxuan Gu; Wenjie Wang; Xiaocheng Feng; Weihong Zhong; Kun Zhu 025; Lei Huang 021; Ting Liu 001; Bing Qin 001; Tat-Seng Chua (ACL (1), 2025)

Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution. - Tao He; Hao Li; Jingchang Chen; Runxuan Liu; Yixin Cao 002; Lizi Liao; Zihao Zheng; Zheng Chu; Jiafeng Liang; Ming Liu 004; Bing Qin 001 (ACL (Findings), 2025)

Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuchun Fan; Xiachong Feng; Yuxuan Gu; Yangfan Ye; Liang Zhao; Weihong Zhong; Baoxin Wang; Dayong Wu; Guoping Hu; et al. (ACL (1), 2025)

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuchun Fan; Xiachong Feng; Yangfan Ye; Weihong Zhong; Yuxuan Gu; Baoxin Wang; Dayong Wu; Guoping Hu; Bing Qin 001 (ACL (1), 2025)

From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities. - Shixin Jiang; Jiafeng Liang; Jiyuan Wang; Xuan Dong; Heng Chang; Weijiang Yu; Jinhua Du; Ming Liu 004; Bing Qin 001 (ACL (Findings), 2025)

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis. - Yi Jiang; Sendong Zhao; Jianbo Li; Haochun Wang; Bing Qin 001 (ACL (1), 2025)

Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency. - Jiafeng Liang; Shixin Jiang; Xuan Dong; Ning Wang; Zheng Chu; Hui Su; Jinlan Fu; Ming Liu 004; See-Kiong Ng; Bing Qin 001 (ACL (1), 2025)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. - Runxuan Liu; Luobei Luobei; Jiaqi Li 004; Baoxin Wang; Ming Liu 007; Dayong Wu; Shijin Wang 001; Bing Qin 001 (ACL (1), 2025)

One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit. - Weitao Ma; Xiyuan Du; Xiaocheng Feng; Lei Huang 021; Yichong Huang; Huiyi Zhang; Xiaoliang Yang; Baohang Li; Xiachong Feng; Ting Liu 001; Bing Qin 001 (ACL (1), 2025)

Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation. - Jihao Shi; Xiao Ding; Kai Xiong 002; Hengwei Zhao; Bing Qin 001; Ting Liu 001 (ACL (Findings), 2025)

AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting. - Guo Tang; Zheng Chu; Wenxiang Zheng; Junjia Xiang; Yizhuo Li 007; Weihao Zhang; Ming Liu 004; Bing Qin 001 (ACL (1), 2025)

Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems. - Haochun Wang; Sendong Zhao; Jingbo Wang; Zewen Qiang; Bing Qin 001; Ting Liu 001 (ACL (1), 2025)

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models. - Di Wu; Xin Lu; Yanyan Zhao; Bing Qin 001 (ACL (Findings), 2025)

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning. - Yangfan Ye; Xiaocheng Feng; Zekun Yuan; Xiachong Feng; Libo Qin 001; Lei Huang 021; Weitao Ma; Yichong Huang; Zhirui Zhang; Yunfei Lu; Xiaohui Yan; Duyu Tang; et al. (ACL (1), 2025)

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention. - Zekai Ye; Qiming Li; Xiaocheng Feng; Libo Qin 001; Yichong Huang; Baohang Li; Kui Jiang; Yang Xiang; Zhirui Zhang; Yunfei Lu; Duyu Tang; Dandan Tu; et al. (ACL (1), 2025)

Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (ACL (1), 2025)

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. - Yang Zhao 023; Li Du; Xiao Ding; Yangou Ouyang; Hepeng Wang; Kai Xiong 002; Jinglong Gao; Zhouhao Sun; Dongliang Xu; Qing Yang 033; Dongchen Li; Bing Qin 001; et al. (ACL (1), 2025)

Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. - Weixiang Zhao; Yulin Hu; Yang Deng 002; Jiahe Guo; Xingyu Sui; Xinyang Han; An Zhang 003; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (ACL (1), 2025)

MPO: Multilingual Safety Alignment via Reward Gap Optimization. - Weixiang Zhao; Yulin Hu; Yang Deng 002; Tongtong Wu; Wenxuan Zhang 001; Jiahe Guo; An Zhang 003; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (ACL (1), 2025)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (COLING, 2025)

Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation. - Zheng Chu; Jingchang Chen; Zhongjie Wang 003; Guo Tang; Qianglong Chen; Ming Liu 004; Bing Qin 001 (COLING, 2025)

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis. - Weitao Ma; Xiaocheng Feng; Weihong Zhong; Lei Huang 021; Yangfan Ye; Xiachong Feng; Bing Qin 001 (COLING, 2025)

LLMs May Perform MCQA by Selecting the Least Incorrect Option. - Haochun Wang; Sendong Zhao; Zewen Qiang; Nuwa Xi; Bing Qin 001; Ting Liu 001 (COLING, 2025)

GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. - Zike Yuan; Ming Liu 004; Hui Wang; Bing Qin 001 (COLING, 2025)

Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering. - Jihao Shi; Xiao Ding; Hengwei Zhao; Ting Liu 001; Bing Qin 001 (ICASSP, 2025)

Improved Diffusion-based Generative Model with Better Adversarial Robustness. - Zekun Wang 001; Mingyang Yi; Shuchen Xue; Zhenguo Li; Ming Liu 004; Bing Qin 001; Zhiming Ma (ICLR, 2025)

Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs. - Bichen Wang; Yuzhe Zi; Yixin Sun; Yanyan Zhao; Bing Qin 001 (NAACL (Long Papers), 2025)

Exploring Large Language Models for Effective Rumor Detection on Social Media. - Yirong Zeng; Xiao Ding; Bibo Cai; Ting Liu 001; Bing Qin 001 (NAACL (Long Papers), 2025)

Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning. - Tao He; Lizi Liao; Ming Liu 004; Bing Qin 001 (SIGIR, 2025)

Think straight or think again? Continual joint learning of deduction, abduction and induction. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yang Zhao 023; Ting Liu 001; Bing Qin 001 (Neural Networks, 2025)

Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. - Yirong Zeng; Xiao Ding; Yuxian Wang; Weiwen Liu; Wu Ning; Yutai Hou; Xu Huang 008; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. - Runxuan Liu; Bei Luo; Jiaqi Li 004; Baoxin Wang; Ming Liu 004; Dayong Wu; Shijin Wang 001; Bing Qin 001 (CoRR, 2025)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM. - Jiayin Lan; Jiaqi Li 004; Baoxin Wang; Ming Liu 004; Dayong Wu; Shijin Wang 001; Bing Qin 001 (CoRR, 2025)

MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications. - Zike Yuan; Ming Liu 004; Hui Wang; Bing Qin 001 (CoRR, 2025)

Exploring & exploiting high-order graph structure for sparse knowledge graph completion. - Tao He; Ming Liu 004; Yixin Cao 002; Zekun Wang 001; Zihao Zheng; Bing Qin 001 (Frontiers Comput. Sci., 2025)

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese. - Haochun Wang; Sendong Zhao; Zewen Qiang; Zijian Li 020; Chi Liu; Nuwa Xi; Yanrui Du; Bing Qin 001; Ting Liu 001 (ACM Trans. Knowl. Discov. Data, 2025)

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems. - Zekun Zhou; Xiaocheng Feng; Lei Huang 021; Xiachong Feng; Ziyun Song; Ruihan Chen; Liang Zhao; Weitao Ma; Yuxuan Gu; Baoxin Wang; Dayong Wu; Guoping Hu; et al. (CoRR, 2025)

Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter. - Weixiang Zhao; Xingyu Sui; Xinyang Han; Yang Deng 002; Yulin Hu; Jiahe Guo; Libo Qin 001; Qianyun Du; Shijin Wang 001; Yanyan Zhao; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities. - Weixiang Zhao; Xingyu Sui; Jiahe Guo; Yulin Hu; Yang Deng 002; Yanyan Zhao; Bing Qin 001; Wanxiang Che; Tat-Seng Chua; Ting Liu 001 (CoRR, 2025)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. - Lei Huang 021; Weijiang Yu; Weitao Ma; Weihong Zhong; Zhangyin Feng; Haotian Wang 007; Qianglong Chen; Weihua Peng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (ACM Trans. Inf. Syst., 2025)

AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. - Weixiang Zhao; Jiahe Guo; Yulin Hu; Yang Deng 002; An Zhang 003; Xingyu Sui; Xinyang Han; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (CoRR, 2025)

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models. - Zhouhao Sun; Xiao Ding; Li Du; Yunpeng Xu; Yixuan Ma; Yang Zhao 023; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey. - Zihan Zhang; Xiao Ding; Xia Liang; Yusheng Zhou; Bing Qin 001; Ting Liu 001 (IEEE Trans. Knowl. Data Eng., 2025)

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection. - Yang Zhao 023; Kai Xiong 002; Xiao Ding; Li Du; YangouOuyang; Zhouhao Sun; Jiannan Guan; Wenbin Zhang; Bin Liu; Dong Hu; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners. - Weixiang Zhao; Jiahe Guo; Yang Deng 002; Tongtong Wu; Wenxuan Zhang 001; Yulin Hu; Xingyu Sui; Yanyan Zhao; Wanxiang Che; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (CoRR, 2025)

Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment. - Weixiang Zhao; Xingyu Sui; Yulin Hu; Jiahe Guo; Haixiao Liu; Biye Li; Yanyan Zhao; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing. - Zhouhao Sun; Zhiyuan Kan; Xiao Ding; Li Du; Yang Zhao 023; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation. - Xin Lu; Yanyan Zhao; Si Wei; Shijin Wang 001; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering. - Zheng Chu; Huiming Fan; Jingchang Chen; Qianyu Wang; Ming-Hsuan Yang 001; Jiafeng Liang; Zhongjie Wang 003; Hao Li; Guo Tang; Ming Liu 004; Bing Qin 001 (CoRR, 2025)

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning. - Yang He; Xiao Ding; Bibo Cai; Yufei Zhang; Kai Xiong 002; Zhouhao Sun; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer. - Jinglong Gao; Xiao Ding; Lingxiao Zou; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

One for All: Update Parameterized Knowledge Across Multiple Models. - Weitao Ma; Xiyuan Du; Xiaocheng Feng; Lei Huang 021; Yichong Huang; Huiyi Zhang; Xiaoliang Yang; Baohang Li; Xiachong Feng; Ting Liu 001; Bing Qin 001 (CoRR, 2025)

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging. - Zijian Li 020; Xiaocheng Feng; Huixin Liu; Yichong Huang; Ting Liu 001; Bing Qin 001 (CoRR, 2025)

Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations. - Junzhe Wang; Bichen Wang; Xing Fu; Yixin Sun; Yanyan Zhao; Bing Qin 001 (CoRR, 2025)

Com2: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yuxiong Yan; Li Du; Yufei Zhang; Jinglong Gao; Jiaqian Liu; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement. - Weixiang Zhao; Jiahe Guo; Yang Deng 002; Xingyu Sui; Yulin Hu; Yanyan Zhao; Wanxiang Che; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (CoRR, 2025)

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models. - Qiming Li; Zekai Ye; Xiaocheng Feng; Weihong Zhong; Libo Qin 001; Ruihan Chen; Baohang Li; Kui Jiang; Yaowei Wang; Ting Liu 001; Bing Qin 001 (CoRR, 2025)

x-ECON: Explainable Event-Consumption Commonsense Reasoning. - Xiao Ding; Bibo Cai; Xue Li; Ting Liu 001; Bing Qin 001 (IEEE Trans. Big Data, 2025)

Final: Combining First-Order Logic With Natural Logic for Question Answering. - Jihao Shi; Xiao Ding; Siu Cheung Hui; Yuxiong Yan; Hengwei Zhao; Ting Liu 001; Bing Qin 001 (IEEE Trans. Knowl. Data Eng., 2025)

Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner. - Tao He; Rongchuan Mu; Lizi Liao; Yixin Cao 002; Ming Liu 004; Bing Qin 001 (CoRR, 2025)

Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy. - Yi Jiang; Sendong Zhao; Jianbo Li; Haochun Wang; Lizhe Zhang; Yan Liu; Bing Qin 001 (CoRR, 2025)