Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution. - Ruifeng Xu 001; Jun Xu 007; Jie Liu; Chengxiang Liu; Chengtian Zou; Lin Gui 003; Yanzhen Zheng; Peng Qu (EMNLP-CoNLL Shared Task, 2012)

Burst events detection on micro-blogging. - Chengxiang Liu; Ruifeng Xu 001; Lin Gui 003 (ICMLC, 2013)

A Mixed Model for Cross Lingual Opinion Analysis. - Lin Gui 003; Ruifeng Xu 001; Jun Xu 007; Li Yuan 002; Yuanlin Yao; Jiyun Zhou; Qiaoyun Qiu; Shuwei Wang; Kam-Fai Wong; Ricky Cheung (NLPCC, 2013)

Cross-lingual Opinion Analysis via Negative Transfer Detection. - Lin Gui 003; Ruifeng Xu 001; Qin Lu 001; Jun Xu 007; Jian Xu 014; Bin Liu 014; Xiaolong Wang 001 (ACL (2), 2014)

Credibility Estimation of Stock Comments Based on Publisher and Information Uncertainty Evaluation. - Qiaoyun Qiu; Ruifeng Xu 001; Bin Liu 014; Lin Gui 003; Yu Zhou 025 (ICMLC (CCIS volume), 2014)

A Storm-Based Real-Time Micro-Blogging Burst Event Detection System. - Yiding Wang; Ruifeng Xu 001; Bin Liu 014; Lin Gui 003; Bin Tang (ICMLC (CCIS volume), 2014)

Financial named entity recognition based on conditional random fields and information entropy. - Shuwei Wang; Ruifeng Xu 001; Bin Liu 014; Lin Gui 003; Yu Zhou 025 (ICMLC, 2014)

Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text. - Lin Gui 003; Li Yuan 002; Ruifeng Xu 001; Bin Liu 014; Qin Lu 001; Yu Zhou 025 (NLPCC, 2014)

A Joint Model for Chinese Microblog Sentiment Analysis. - Yuhui Cao; Zhao Chen; Ruifeng Xu 001; Tao Chen 026; Lin Gui 003 (SIGHAN@IJCNLP, 2015)

A Novel Class Noise Estimation Method and Application in Classification. - Lin Gui 003; Qin Lu 001; Ruifeng Xu 001; Minglei Li 001; Qikang Wei (CIKM, 2015)

Improving Transfer Learning in Cross Lingual Opinion Analysis Through Negative Transfer Detection. - Lin Gui 003; Qin Lu 001; Ruifeng Xu 001; Qikang Wei; Yuhui Cao (KSEM, 2015)

Cross lingual opinion holder extraction based on multi-kernel SVMs and transfer learning. - Ruifeng Xu 001; Lin Gui 003; Jun Xu 007; Qin Lu 001; Kam-Fai Wong (World Wide Web, 2015)

CNNsite: Prediction of DNA-binding residues in proteins using Convolutional Neural Network with sequence features. - Jiyun Zhou; Qin Lu 001; Ruifeng Xu 001; Lin Gui 003; Hongpeng Wang (BIBM, 2016)

Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data. - Minglei Li 001; Qin Lu 001; Lin Gui 003; Yunfei Long (CCL, 2016)

Event-Driven Emotion Cause Extraction with Corpus Construction. - Lin Gui 003; Dongyin Wu; Ruifeng Xu 001; Qin Lu 001; Yu Zhou 025 (EMNLP, 2016)

A sequence level latent topic modeling method for sentiment analysis via CNN based Diversified Restrict Boltzmann Machine. - Yu Zhou 025; Ruifeng Xu 001; Lin Gui 003 (ICMLC, 2016)

Intersubjectivity and Sentiment: From Language to Knowledge. - Lin Gui 003; Ruifeng Xu 001; Yulan He 001; Qin Lu 001; Zhongyu Wei (IJCAI, 2016)

Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs. - Ruifeng Xu 001; Yu Zhou 025; Dongyin Wu; Lin Gui 003; Jiachen Du; Yun Xue (NLPCC/ICCPOL, 2016)

Extracting Opinion Expression with Neural Attention. - Jiachen Du; Lin Gui 003; Ruifeng Xu 001 (SMP, 2016)

Emotion Cause Extraction, A Challenging Task with Corpus Construction. - Lin Gui 003; Ruifeng Xu 001; Qin Lu 001; Dongyin Wu; Yu Zhou 025 (SMP, 2016)

Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks. - Qikang Wei; Tao Chen 026; Ruifeng Xu 001; Yulan He 001; Lin Gui 003 (Database J. Biol. Databases Curation, 2016)

Incorporating multi-kernel function and Internet verification for Chinese person name disambiguation. - Ruifeng Xu 001; Lin Gui 003; Qin Lu 001; Shuai Wang; Jian Xu 014 (Frontiers Comput. Sci., 2016)

Leveraging Target-Oriented Information for Stance Classification. - Jiachen Du; Ruifeng Xu 001; Lin Gui 003; Xuan Wang 002 (CICLing (2), 2017)

A Question Answering Approach for Emotion Cause Extraction. - Lin Gui 003; Jiannan Hu; Yulan He 001; Ruifeng Xu 001; Qin Lu 001; Jiachen Du (EMNLP, 2017)

Stance Classification with Target-specific Neural Attention. - Jiachen Du; Ruifeng Xu 001; Yulan He 001; Lin Gui 003 (IJCAI, 2017)

Affective State Prediction of Contextualized Concepts. - Minglei Li 001; Qin Lu 001; Yunfei Long; Lin Gui 003 (AffComp@IJCAI, 2017)

A Convolutional Attention Model for Text Classification. - Jiachen Du; Lin Gui 003; Ruifeng Xu 001; Yulan He 001 (NLPCC, 2017)

A Tensor Factorization Based User Influence Analysis Method with Clustering and Temporal Constraint. - Xiangwen Liao; Lingying Zhang; Lin Gui 003; Kam-Fai Wong; Guolong Chen (NLPCC, 2017)

Overview of NTCIR-13 ECA Task. - Qinghong Gao; Jiannan Hu; Ruifeng Xu 001; Lin Gui 003; Yulan He 001; Kam-Fai Wong; Qin Lu 001 (NTCIR, 2017)

Inferring User Profile Using Microblog Content and Friendship Network. - Zhishan Zhao; Jiachen Du; Qinghong Gao; Lin Gui 003; Ruifeng Xu 001 (SMP, 2017)

A convolutional attentional neural network for sentiment classification. - Jiachen Du; Lin Gui 003; Yulan He 001; Ruifeng Xu 001 (SPAC, 2017)

A Question Answering Approach to Emotion Cause Extraction. - Lin Gui 003; Jiannan Hu; Yulan He 001; Ruifeng Xu 001; Qin Lu 001; Jiachen Du (CoRR, 2017)

Prediction of DNA-binding residues from sequence information using convolutional neural network. - Jiyun Zhou; Qin Lu 001; Ruifeng Xu 001; Lin Gui 003; Hongpeng Wang (Int. J. Data Min. Bioinform., 2017)

Learning representations from heterogeneous network for sentiment classification of product reviews. - Lin Gui 003; Yu Zhou 025; Ruifeng Xu 001; Yulan He 001; Qin Lu 001 (Knowl. Based Syst., 2017)

Inferring Affective Meanings of Words from Word Embedding. - Minglei Li 001; Qin Lu 001; Yunfei Long; Lin Gui 003 (IEEE Trans. Affect. Comput., 2017)

An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning. - Lin Gui 003; Jiachen Du; Zhishan Zhao; Yulan He 001; Ruifeng Xu 001; Chuang Fan (NLPCC (2), 2018)

Convolution-based Memory Network for Aspect-based Sentiment Analysis. - Chuang Fan; Qinghong Gao; Jiachen Du; Lin Gui 003; Ruifeng Xu 001; Kam-Fai Wong (SIGIR, 2018)

Negative transfer detection in transductive transfer learning. - Lin Gui 003; Ruifeng Xu 001; Qin Lu 001; Jiachen Du; Yu Zhou 025 (Int. J. Mach. Learn. Cybern., 2018)

A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. - Chuang Fan; Hongyu Yan; Jiachen Du; Lin Gui 003; Lidong Bing; Min Yang 007; Ruifeng Xu 001; Ruibin Mao (EMNLP/IJCNLP (1), 2019)

Neural Topic Model with Reinforcement Learning. - Lin Gui 003; Jia Leng; Gabriele Pergola; Yu Zhou 025; Ruifeng Xu 001; Yulan He 001 (EMNLP/IJCNLP (1), 2019)

Convolution-Based Neural Attention With Applications to Sentiment Classification. - Jiachen Du; Lin Gui 003; Yulan He 001; Ruifeng Xu 001; Xuan Wang 002 (IEEE Access, 2019)

MTTFsite: cross-cell type TF binding site prediction by using multi-task learning. - Jiyun Zhou; Qin Lu 001; Lin Gui 003; Ruifeng Xu 001; Yunfei Long; Hongpeng Wang (Bioinform., 2019)

Inferring user profiles in social media by joint modeling of text and networks. - Ruifeng Xu 001; Jiachen Du; Zhishan Zhao; Yulan He 001; Qinghong Gao; Lin Gui 003 (Sci. China Inf. Sci., 2019)

TDAM: A topic-dependent attention model for sentiment analysis. - Gabriele Pergola; Lin Gui 003; Yulan He 001 (Inf. Process. Manag., 2019)

Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. - Chuang Fan; Chaofa Yuan; Jiachen Du; Lin Gui 003; Min Yang 007; Ruifeng Xu 001 (ACL, 2020)

Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. - Bin Liang 004; Rongdi Yin; Lin Gui 003; Jiachen Du; Yulan He 001; Ruifeng Xu 001 (CIKM, 2020)

Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis. - Bin Liang 004; Rongdi Yin; Lin Gui 003; Jiachen Du; Ruifeng Xu 001 (COLING, 2020)

CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering. - Junru Lu; Gabriele Pergola; Lin Gui 003; Binyang Li; Yulan He 001 (COLING, 2020)

Commonsense Knowledge Enhanced Memory Network for Stance Classification. - Jiachen Du; Lin Gui 003; Ruifeng Xu 001; Yunqing Xia; Xuan Wang 002; Erik Cambria (IEEE Intell. Syst., 2020)

Ensemble with estimation: seeking for optimization in class noisy data. - Ruifeng Xu 001; Zhiyuan Wen; Lin Gui 003; Qin Lu 001; Binyang Li; Xizhao Wang (Int. J. Mach. Learn. Cybern., 2020)

EL_LSTM: Prediction of DNA-Binding Residue from Protein Sequence by Combining Long Short-Term Memory and Ensemble Learning. - Jiyun Zhou; Qin Lu 001; Ruifeng Xu 001; Lin Gui 003; Hongpeng Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies. - Jiyun Zhou; Qin Lu 001; Ruifeng Xu 001; Lin Gui 003; Hongpeng Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. - Hanqi Yan; Lin Gui 003; Gabriele Pergola; Yulan He 001 (ACL/IJCNLP (1), 2021)

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. - Lixing Zhu; Gabriele Pergola; Lin Gui 003; Deyu Zhou; Yulan He 001 (ACL/IJCNLP (1), 2021)

Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. - Bin Liang 004; Wangda Luo; Xiang Li; Lin Gui 003; Min Yang 007; Xiaoqi Yu; Ruifeng Xu 001 (CIKM, 2021)

Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. - Wenjia Zhang; Lin Gui 003; Yulan He 001 (CIKM, 2021)

Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies. - Gabriele Pergola; Elena Kochkina; Lin Gui 003; Maria Liakata; Yulan He 001 (EACL, 2021)

Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews. - Runcong Zhao; Lin Gui 003; Gabriele Pergola; Yulan He 001 (EACL, 2021)

Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. - Bin Liang 004; Hang Su; Rongdi Yin; Lin Gui 003; Min Yang 007; Qin Zhao; Xiaoqi Yu; Ruifeng Xu 001 (EMNLP (1), 2021)

Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs. - Bin Liang 004; Chenwei Lou; Xiang Li; Lin Gui 003; Min Yang 007; Ruifeng Xu 001 (ACM Multimedia, 2021)

A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews. - Gabriele Pergola; Lin Gui 003; Yulan He 001 (NAACL-HLT, 2021)

Affective Dependency Graph for Sarcasm Detection. - Chenwei Lou; Bin Liang 004; Lin Gui 003; Yulan He 001; Yixue Dang; Ruifeng Xu 001 (SIGIR, 2021)

Target-adaptive Graph for Cross-target Stance Detection. - Bin Liang 004; Yonghao Fu; Lin Gui 003; Min Yang 007; Jiachen Du; Yulan He 001; Ruifeng Xu 001 (WWW, 2021)

Understanding patient reviews with minimum supervision. - Lin Gui 003; Yulan He 001 (Artif. Intell. Medicine, 2021)

Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement. - Chuang Fan; Chaofa Yuan; Lin Gui 003; Yue Zhang 004; Ruifeng Xu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Code for CIKM Short Paper "Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic". - Wenjia Zhang; Lin Gui 003; Yulan He 001 (Zenodo, 2021)

Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. - Bin Liang 004; Chenwei Lou; Xiang Li; Min Yang 007; Lin Gui 003; Yulan He 001; Wenjie Pei; Ruifeng Xu 001 (ACL (1), 2022)

JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. - Bin Liang 004; Qinglin Zhu; Xiang Li; Min Yang 007; Lin Gui 003; Yulan He 001; Ruifeng Xu 001 (ACL (1), 2022)

Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation. - Junru Lu; Xingwei Tan; Gabriele Pergola; Lin Gui 003; Yulan He 001 (EMNLP (Findings), 2022)

Addressing token uniformity in transformers via singular value transformation. - Hanqi Yan; Lin Gui 003; Wenjie Li 002; Yulan He 001 (UAI, 2022)

Zero-Shot Stance Detection via Contrastive Learning. - Bin Liang 004; Zixiao Chen; Lin Gui 003; Yulan He 001; Min Yang 007; Ruifeng Xu 001 (WWW, 2022)

Hierarchical Interpretation of Neural Text Classification. - Hanqi Yan; Lin Gui 003; Yulan He 001 (Comput. Linguistics, 2022)

Sememe knowledge and auxiliary information enhanced approach for sarcasm detection. - Zhiyuan Wen; Lin Gui 003; Qianlong Wang 001; Mingyue Guo; Xiaoqi Yu; Jiachen Du; Ruifeng Xu 001 (Inf. Process. Manag., 2022)

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks. - Bin Liang 004; Hang Su; Lin Gui 003; Erik Cambria; Ruifeng Xu 001 (Knowl. Based Syst., 2022)

Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection. - Lin Gui 003; Jia Leng; Jiyun Zhou; Ruifeng Xu 001; Yulan He 001 (IEEE Trans. Knowl. Data Eng., 2022)

Understanding patient reviews with minimum supervision. - Lin Gui 003; Yulan He 001 (Zenodo, 2022)

Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization. - Xinyu Wang; Lin Gui 003; Yulan He 001 (ACL (1), 2023)

Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Lin Gui 003; Franck Cappello; Simon McIntosh-Smith (DSN, 2023)

Distinguishability Calibration to In-Context Learning. - Hongjing Li; Hanqi Yan; Yanran Li; Li Qian; Yulan He 001; Lin Gui 003 (EACL (Findings), 2023)

PANACEA: An Automated Misinformation Detection System on COVID-19. - Runcong Zhao; Miguel Arana-Catania; Lixing Zhu; Elena Kochkina; Lin Gui 003; Arkaitz Zubiaga; Rob Procter; Maria Liakata; Yulan He 001 (EACL (System Demonstrations), 2023)

Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. - Geng Tu; Bin Liang 004; Xiucheng Lyu; Lin Gui 003; Ruifeng Xu 001 (ECAI, 2023)

Distilling ChatGPT for Explainable Automated Student Answer Assessment. - Jiazheng Li 002; Lin Gui 003; Yuxiang Zhou; David West; Cesare Aloisi; Yulan He 001 (EMNLP (Findings), 2023)

A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports. - Xinyu Wang; Lin Gui 003; Yulan He 001 (EMNLP, 2023)

Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding. - Lixing Zhu; Runcong Zhao; Lin Gui 003; Yulan He 001 (EMNLP (Findings), 2023)

Counterfactual Generation with Identifiability Guarantees. - Hanqi Yan; Lingjing Kong; Lin Gui 003; Yuejie Chi; Eric P. Xing; Yulan He 001; Kun Zhang 001 (NeurIPS, 2023)

Uncertainty Quantification for Text Classification. - Dell Zhang; Murat Sensoy; Masoud Makrehchi; Bilyana Taneva-Popova; Lin Gui 003; Yulan He 001 (SIGIR, 2023)

Cone: Unsupervised Contrastive Opinion Extraction. - Runcong Zhao; Lin Gui 003; Yulan He 001 (SIGIR, 2023)

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. - Jiazheng Li 002; Zhaoyue Sun; Bin Liang 004; Lin Gui 003; Yulan He 001 (UAI, 2023)

Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering. - Junru Lu; Gabriele Pergola; Lin Gui 003; Yulan He 001 (CoRR, 2023)

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking. - Wenjia Zhang; Lin Gui 003; Rob Procter; Yulan He 001 (CoRR, 2023)

OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach. - Jiazheng Li 002; Runcong Zhao; Yulan He 001; Lin Gui 003 (CoRR, 2023)

COPF: Continual Learning Human Preference through Optimal Policy Fitting. - Han Zhang 025; Lin Gui 003; Yuanzhao Zhai; Hui Wang 030; Yu Lei; Ruifeng Xu 001 (CoRR, 2023)

The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities. - Yuxiang Zhou; Jiazheng Li 002; Yanzheng Xiang; Hanqi Yan; Lin Gui 003; Yulan He 001 (CoRR, 2023)

Tracking Brand-Associated Polarity-Bearing Topics in User Reviews. - Runcong Zhao; Lin Gui 003; Hanqi Yan; Yulan He 001 (Trans. Assoc. Comput. Linguistics, 2023)

Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis. - Bin Liang 004; Rongdi Yin; Jiachen Du; Lin Gui 003; Yulan He 001; Min Yang 007; Ruifeng Xu 001 (IEEE Trans. Affect. Comput., 2023)

Few-shot Aspect Category Sentiment Analysis via Meta-learning. - Bin Liang 004; Xiang Li; Lin Gui 003; Yonghao Fu; Yulan He 001; Min Yang 007; Ruifeng Xu 001 (ACM Trans. Inf. Syst., 2023)

Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection. - Zhiyuan Wen; Rui Wang 092; Xuan Luo; Qianlong Wang 001; Bin Liang 004; Jiachen Du; Xiaoqi Yu; Lin Gui 003; Ruifeng Xu 001 (Int. J. Mach. Learn. Cybern., 2023)

NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing. - Runcong Zhao; Wenjia Zhang; Jiazheng Li 002; Lixing Zhu; Yanran Li; Yulan He 001; Lin Gui 003 (AAAI, 2024)

Multi-modal Stance Detection: New Datasets and Model. - Bin Liang 004; Ang Li; Jingqian Zhao; Lin Gui 003; Min Yang 007; Yue Yu 001; Kam-Fai Wong; Ruifeng Xu 001 (ACL (Findings), 2024)

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. - Xinyu Wang; Hainiu Xu; Lin Gui 003; Yulan He 001 (ACL (Findings), 2024)

Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. - Yanzheng Xiang; Hanqi Yan; Lin Gui 003; Yulan He 001 (ACL (Findings), 2024)

Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning. - Hanqi Yan; Qinglin Zhu; Xinyu Wang; Lin Gui 003; Yulan He 001 (ACL (1), 2024)

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. - Runcong Zhao; Qinglin Zhu; Hainiu Xu; Jiazheng Li 002; Yuxiang Zhou; Yulan He 001; Lin Gui 003 (ACL (Findings), 2024)

NarrativePlay: Interactive Narrative Understanding. - Runcong Zhao; Wenjia Zhang; Jiazheng Li 002; Lixing Zhu; Yanran Li; Yulan He 001; Lin Gui 003 (EACL (Demonstrations), 2024)

Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. - Italo Luis da Silva; Hanqi Yan; Lin Gui 003; Yulan He 001 (EMNLP, 2024)

Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. - Hanqi Yan; Yanzheng Xiang; Guangyi Chen 002; Yifei Wang; Lin Gui 003; Yulan He 001 (EMNLP, 2024)

The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis. - Yuxiang Zhou; Jiazheng Li 002; Yanzheng Xiang; Hanqi Yan; Lin Gui 003; Yulan He 001 (EMNLP, 2024)

CPPO: Continual Learning for Reinforcement Learning with Human Feedback. - Han Zhang 025; Yu Lei; Lin Gui 003; Min Yang 007; Yulan He 001; Hui Wang 030; Ruifeng Xu 001 (ICLR, 2024)

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs. - Shenzhi Yang; Bin Liang 004; An Liu; Lin Gui 003; Xingkai Yao; Xiaofang Zhang (ICML, 2024)

Multi-Layer Ranking with Large Language Models for News Source Recommendation. - Wenjia Zhang; Lin Gui 003; Rob Procter; Yulan He 001 (SIGIR, 2024)

Mitigating Biases of Large Language Models in Stance Detection with Calibration. - Ang Li; Jingqian Zhao; Bin Liang 004; Lin Gui 003; Hui Wang 030; Xi Zeng; Kam-Fai Wong; Ruifeng Xu 001 (CoRR, 2024)

PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games. - Qinglin Zhu; Runcong Zhao; Jinhua Du; Lin Gui 003; Yulan He 001 (CoRR, 2024)

GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA. - Xinyu Wang; Yanzheng Xiang; Lin Gui 003; Yulan He 001 (CoRR, 2024)

Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection. - Bin Liang 004; Lin Gui 003; Yulan He 001; Erik Cambria; Ruifeng Xu 001 (IEEE Trans. Affect. Comput., 2024)

NewsQuote Dataset: Quote-Speaker Pairs from New Articles. - Wenjia Zhang; Lin Gui 003; Rob Procter; Yulan He 001 (Zenodo, 2024)

Explainable Recommender With Geometric Information Bottleneck. - Hanqi Yan; Lin Gui 003; Menghan Wang; Kun Zhang 001; Yulan He 001 (IEEE Trans. Knowl. Data Eng., 2024)

Correcting Large Language Model Behavior via Influence Function. - Han Zhang 025; Zhuo Zhang 007; Yi Zhang; Yuanzhao Zhai; Hanyang Peng; Yu Lei; Yue Yu 001; Hui Wang 030; Bin Liang 004; Lin Gui 003; Ruifeng Xu 001 (AAAI, 2025)

Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. - Zhanghao Hu; Hanqi Yan; Qinglin Zhu; Zhenyi Shen; Yulan He 001; Lin Gui 003 (ACL (1), 2025)

RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following. - Junru Lu; Jiazheng Li 002; Guodong Shen; Lin Gui 003; Siyu An; Yulan He 001; Di Yin; Xing Sun 001 (ACL (Findings), 2025)

PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA. - Xinyu Wang; Yanzheng Xiang; Lin Gui 003; Yulan He 001 (ACL (Findings), 2025)

COPR: Continual Human Preference Learning via Optimal Policy Regularization. - Han Zhang 025; Lin Gui 003; Yu Lei; Yuanzhao Zhai; Yehong Zhang; Zhuo Zhang 007; Yulan He 001; Hui Wang 030; Yue Yu 001; Kam-Fai Wong; Bin Liang 004; Ruifeng Xu 001 (ACL (Findings), 2025)

Centrality-guided Pre-training for Graph. - Bin Liang 004; Shiwei Chen; Lin Gui 003; Hui Wang 030; Yue Yu 001; Ruifeng Xu 001; Kam-Fai Wong (ICLR, 2025)

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration. - Ang Li; Jingqian Zhao; Bin Liang 004; Lin Gui 003; Hui Wang 030; Xi Zeng; Xingwei Liang; Kam-Fai Wong; Ruifeng Xu 001 (NAACL (Long Papers), 2025)

GazeGCN: Gaze-aware Graph Convolutional Network for Text Classification. - Bingbing Wang; Bin Liang 004; Zhixin Bai; Min Yang 007; Lin Gui 003; Ruifeng Xu 001 (Neurocomputing, 2025)

FGVIrony: A Chinese Dataset of Fine-grained Verbal Irony. - Zhiyuan Wen; Rui Wang 092; Qianlong Wang 001; Lin Gui 003; Yunfei Long; Shiwei Chen; Bin Liang 004; Min Yang 007; Ruifeng Xu 001 (Inf. Process. Manag., 2025)

Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time. - Jiazheng Li 002; Yuxiang Zhou; Junru Lu; Gladys Tyen; Lin Gui 003; Cesare Aloisi; Yulan He 001 (CoRR, 2025)

Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. - Zhanghao Hu; Hanqi Yan; Qingling Zhu; Zhenyi Shen; Yulan He 001; Lin Gui 003 (CoRR, 2025)

SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers. - Yanzheng Xiang; Hanqi Yan; Shuyin Ouyang; Lin Gui 003; Yulan He 001 (CoRR, 2025)

Sparse Activation Editing for Reliable Instruction Following in Narratives. - Runcong Zhao; Chengyu Cao; Qinglin Zhu; Xiucheng Lv; Shun Shao; Lin Gui 003; Ruifeng Xu 001; Yulan He 001 (CoRR, 2025)

Bridging the Long-Term Gap: A Memory-Active Policy for Multi-Session Task-Oriented Dialogue. - Yiming Du; Bingbing Wang; Yang He; Bin Liang 004; Baojun Wang; Zhongyang Li; Lin Gui 003; Jeff Z. Pan; Ruifeng Xu 001; Kam-Fai Wong (CoRR, 2025)

Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration. - Qinglin Zhu; Runcong Zhao; Hanqi Yan; Yulan He 001; Yudong Chen; Lin Gui 003 (CoRR, 2025)

SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding. - Runcong Zhao; Qinglin Zhu; Hainiu Xu; Bin Liang 004; Lin Gui 003; Yulan He 001 (CoRR, 2025)

Spectrum Projection Score: Aligning Retrieved Summaries with Reader Models in Retrieval-Augmented Generation. - Zhanghao Hu; Qinglin Zhu; Siya Qi; Yulan He 001; Hanqi Yan; Lin Gui 003 (CoRR, 2025)