2025
R. Zhao, C. Cao, Q. Zhu, X. Lv, S. Shao, L. Gui, R. Xu and Y. He. Sparse Activation Editing for Reliable Instruction Following in Narratives. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
J. Li, Y. Zhou, J. Lu, G. Tyen, L. Gui, C. Aloisi and Y. He. Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
C. Ke, Y. Du, B. Liang, Y. Xiang, L. Gui, Z. Li, B. Wang, Y. Yu, H.i Wang, K.-F. Wong, and R. Xu. Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
Y. Xu, K. Xu, J. Zhou, L. Hu, and Lin Gui. Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
Y. Xiang, H. Yan, S. Ouyang, L. Gui and Y. He. SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers. Conference on Language Modeling (COLM) 2025.
Z. Hu, H. Yan, Q. Zhu, Z. Shen, Y. He and L. Gui. Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
X. Wang, Y. Xiang, L. Gui and Y. He. PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long Document QA. Findings of the ACL, 2025.
J. Lu, J. Li, G. Shen, L. Gui, S. An, Y. He, D. Yin and X. Sun. RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following. Findings of the ACL, 2025.
H. Zhang, L. Gui, Y. Lei, Y. Zhai, Y. Zhang, Y. He, H. Wang, Y. Yu, K.F. Wong, B. Liang, R. Xu. COPR: Continual Human Preference Learning via Optimal Policy Regularization, Findings of the ACL, 2025.
Q. Zhu, R. Zhao, H. Yan, Y. He, Y. Chen and L. Gui. Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration. The 42nd International Conference on Machine Learning (ICML) 2025.
A. Li, J. Zhao, B. Liang, L. Gui, H. Wang, X. Zeng, X. Liang, K. Wong, R. Xu. Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration. 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025.
B. Liang, S.Chen, L. Gui, H. Wang, Y. Yu, R. Xu, K. Wong. Centrality-guided Pre-training for Graph. The Thirteenth International Conference on Learning Representations (ICLR), 2025.
B. Wang, B. Liang, Z. Bai, M. Yang, L. Gui, R. Xu. GazeGCN: Gaze-aware Graph Convolutional Network for Text Classification. Neurocomputing 611: 128680 (2025).
H. Zhang, Z. Zhang, Y. Zhang, Y. Zhai, H. Peng, Y. Lei, Y. Yu, H. Wang, B. Liang, L. Gui, R. Xu. Correcting Large Language Model Behavior via Influence Function. AAAI Conference on Artificial Intelligence (AAAI), 2025.
2024
H. Yan, Y. Xiang, G. Chen, Y. Wang, L. Gui and Y. He. Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
I. Luis da Silva, H. Yan, L. Gui and Y. He. Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Y. Zhou, J. Li, Y. Xiang, H. Yan, L. Gui, and Y. He. The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Q. Zhu*, R. Zhao*, J. Du, L. Gui and Y. He. PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games. arXiv:2404.17662, 2024.
H. Yan*, Q. Zhu*, X. Wang, L. Gui, and Y. He. Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning.The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
R. Zhao*, Q. Zhu*, H. Xu, J. Li, Y. Zhou, Y. He, and L. Gui. Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. Findings of ACL, 2024.
B. Liang, A. Li, J. Zhao, L. Gui, M. Yang, Y. Yu, K. F. Wong, R. Xu. Multi-modal Stance Detection: New Datasets and Model. Findings of ACL, 2024.
X. Wang, H. Xu, L. Gui, and Y. He. Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. Findings of ACL, 2024.
Y. Xiang, H. Yan, L. Gui, and Y. He. Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. Findings of ACL, 2024.
S. Yang, B. Liang, A. Liu, L. Gui, X. Yao, X. Zhang. Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs. The Forty-first International Conference on Machine Learning (ICML), 2024
W. Zhang, L. Gui, R. Procter and Y. He. Multi-Layer Ranking with Large Language Models for News Source Recommendation. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024.
Bin Liang, Lin Gui, Yulan He, Erik Cambria, Ruifeng Xu. Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection. IEEE Transactions on Affective Computing.
Runcong Zhao*, Wenjia Zhang*, Jiazheng Li*, Lixing Zhu, Yanran Li, Lin Gui, and Yulan He. NarrativePlay: Interactive Narrative Understanding, EACL demonstration track, 2024.
Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, and Ruifeng Xu. CPPO: Continual Learning for Reinforcement Learning with Human Feedback. The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.
Hanqi Yan, Lin Gui, Menghan Wang, Kun Zhang, and Yulan He. Explainable Recommender with Geometric Information Bottleneck. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Runcong Zhao*, Wenjia Zhang*, Jiazheng Li*, Lixing Zhu, Yanran Li, Yulan He, and Lin Gui. NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing, AAAI demonstration track, 2024
2023
Jiazheng Li*, Runcong Zhao*, Yongxin Yang, Yulan He, and Lin Gui. OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning, NeurIPS R0-FoMo workshop, 2023.
Xinyu Wang, Lin Gui and Yulan He. A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports, The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 2023.
Lixing Zhu*, Runcong Zhao*, Lin Gui and Yulan He. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding, Findings of EMNLP, 2023.
Jiazheng Li, Lin Gui, Yuxiang Zhou, David West, Cesare Aloisi and Yulan He. Exploring Explainable Automated Student Answer Assessment with ChatGPT, Findings of EMNLP, 2023. (The presentation of this work has been nominated as Best presentation and Best Tech-presentation in BERA2023)
Hanqi Yan*, Lingjing Kong*, Lin Gui, Yuejie Chi, Eric Xing, Yulan He, Kun Zhang. Counterfactual Generation with Identifiability Guarantees. The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, US, 2023.
Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu. Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. 26th European Conference on Artificial Intelligence, 2023.
Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, and Yulan He. CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. The 39th Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, Aug. 2023.
Xinyu Wang, Lin Gui, and Yulan He. Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization. The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, Jul. 2023.
Wenjia Zhang, Lin Gui, Rob Procter, Yulan He. NewsQuote: A Dataset Build on Quote Extraction and Attribution for Expert Recommendation. ICWSM MEDIATE workshop 2023.
Runcong Zhao, Lin Gui, Yulan He. Cone: Unsupervised Contrastive Opinion Extraction, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
Khalid Ayed Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith. Time Machine: Generative Real-Time Model For Failure (and Lead Time) Prediction in HPC Systems, International Conference on Dependable Systems and Networks (DSN), 2023.
Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He. PANACEA: An Automated Misinformation Detection System on COVID-19, EACL system demonstration track , 2023.
Hongjing Li*, Hanqi Yan*, Yanran Li, Li Qian, Yulan He, and Lin Gui. Distinguishability Calibration to In-Context Learning, Findings of EACL, 2023.
Runcong Zhao, Lin Gui, Hanqi Yan, and Yulan He. Tracking Brand-Associated Polarity-Bearing Topics in User Review. Transactions of the Association for Computational Linguistics (TACL), 2023.
Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu. Few-Shot Aspect Category Sentiment Analysis via Meta-Learning. ACM Transactions on Information Systems (TOIS), 2023.
Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang and Ruifeng Xu. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis, IEEE Transactions in Affective Computing (IEEE TAC), 2023.
Zhiyuan Wen, Rui Wang, Xuan Luo, Qianlong Wang, Bin Liang, Jiachen Du, Xiaoqi Yu, Lin Gui, and Ruifeng Xu. Multi-perspective Contrastive Learning Framework Guided by Sememe Knowledge and Label Information for Sarcasm Detection. International Journal of Machine Learning and Cybernetics, 2023.
2022
Hanqi Yan, Lin Gui, and Yulan He. Hierarchical Interpretation of Neural Text Classification. Computational Linguistics (CL), 2022.
Bin Liang, Hang Su, Lin Gui, Erik Cambria and Ruifeng Xu. Aspect-Based Sentiment Analysis via Affective Knowledge Enhanced Graph Convolutional Networks. Knowledge-Based Systems (KBS), 2022.
Lin Gui, Jia Leng, Gabriele Pergola, Ruifeng Xu, Yulan He. Multi-Task Mutual Learning for Joint Sentiment Classification and Topic Detection. IEEE Transactions on Knowledge and Data Engineering, 2022.
Zhiyuan Wen, Lin Gui, Qianlong Wang, Mingyue Guo, Xiaoqi Yu, Jiachen Du and RuifengXu. Sememe Knowledge and Auxiliary Information Enhanced Approach for Sarcasm Detection. Information Processing and Management (IP&M), 2022.
Hanqi Yan, Lin Gui, Wenjie Li ad Yulan He. Addressing Token Uniformity in Transformers via Singular Value Transformation. The 38th Conference on Uncertainty in Artificial Intelligence (UAI), Eindhoven, Netherlands, Aug. 2022.
Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui and Yulan He. Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation. Findings of EMNLP, Dec. 2022.
Bin Liang, Qingling Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He and Ruifeng Xu. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. The 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
Bin Liang, Chengxiang Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei and Ruifeng Xu. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. The 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang and Ruifeng Xu. Zero-Shot Stance Detection via Contrastive Learning. The Web Conference (WWW), Apr. 2022.
2021
Lin Gui, Yulan He. Understanding Patient Reviews with Document Level Supervision, Artificial Intelligence in Medicine, 2021.
Chuang Fan, Chaofa Yuan, Lin Gui, Yue Zhang, and Ruifeng Xu, Multi-task Sequence Tagging for Emotion-Cause Pair Extraction via Tag Distribution Refinement, IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2021.
Bin Liang, Hang Su, Lin Gui, Erik Cambria and Ruifeng Xu. Aspect-Based Sentiment Analysis via Affective Knowledge Enhanced Graph Convolutional Networks. Knowledge-Based Systems, 2021.
Wenjia Zhang, Lin Gui, and Yulan He. Supervised Contrastive Learning for Multi-modal Unreliable News Detection in COVID-19 Pandemic, The 30th ACM International Conference on Information and Knowledge Management (CIKM), Nov. 2021.
Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Min Yang, Xiaoqi Yu, and Ruifeng Xu, Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning, The 30th ACM International Conference on Information and Knowledge Management (CIKM), Nov. 2021.
Hanqi Yan, Lin Gui, Gabriele Pergola and Yulan He. Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou and Yulan He. Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu and Ruifeng Xu Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge, Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2021.
Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Min Yang, Xiaoqi Yu, and Ruifeng Xu, Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning, The 30th ACM International Conference on Information and Knowledge Management (CIKM), Nov. 2021.
Bin Liang, Chenwei Lou, Xiang Li, Lin Gui, Min Yang, and Ruifeng Xu, Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs, the 29th ACM International Conference on Multimedia (ACM MM), 2021.
Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang and Ruifeng Xu. Affective Dependency Graph for Sarcasm Detection, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Jul. 2021.
Gabriele Pergola, Lin Gui and Yulan He. A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jun. 2021.
Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He and Ruifeng Xu. Target-adaptive Graph for Corss-target Stance Detection. The Web Conference (WWW), 2021.
Runcong Zhao, Lin Gui, Gabriele Pergola and Yulan He. Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews, The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.
Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata and Yulan He. Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies, The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.
2020
Jiacheng Du, Lin Gui, Ruifeng Xu. Commonsense Knowledge Enhanced Memory Network for Stance Classification. IEEE Intelligent Systems. 2020.
Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du and Ruifeng Xu. Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.
Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li and Yulan He. Cross-passage Hierarchical Memory Network for Generative Review Question Answering. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.
Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu. Aspect-Invariant Sentiment Feature Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2020.
Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang and Ruifeng Xu. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
Selected publications before 2019
Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He. Neural Topic Model with Reinforcement Learning. Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2019.
Lin Gui, Jiannan Hu, Yulan He, Qin Lu, Ruifeng Xu, Jiachen Du. A Question Answering Approach for Emotion Cause Extraction, Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2017.
Lin Gui, Ruifeng Xu, Yulan He, Qin Lu and Zhongyu Wei. Intersubjectivity and Sentiment: from Language to Knowledge, in Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI), pp.2789-2795, 2016.
Lin Gui, Dongyin Wu, Yu Zhou, Qin Lu and Ruifeng Xu. Event-Driven Emotion Cause Extraction with Corpus Construction, in Proceedings of Empirical Methods for Natural Language Processing (EMNLP), pp.1639-1649, 2016.
Lin Gui, Qin Lu, Ruifeng Xu, Minglei Li, Qikang Wei. A Novel Class Noise Estimation Method and Application in Classification, In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pp.1081-1090, 2015.
Lin Gui, Ruifeng Xu, Qin Lu, Jun Xu, Jian Xu, Bin Liu, Xiaolong Wang. Cross lingual Opinion Analysis via. Negative Transfer Detection, In Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 860-865, 2014.