King's College London NLP

2024

H. Yan, Q. Zhu, X. Wang, L. Gui, and Y. He. Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning , arXiv:2402.14963.
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 , arXiv:2402.14522.
Y. Xiang, H. Yan, L. Gui, and Y. He. Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models , arXiv:2402.15637.
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 , arXiv:2402.11051.
J. Lu, S. An, M. Zhang, Y. He, D Yin, and X. Sun. FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema , arXiv:2402.11811.
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 , arXiv:2311.00237.
J. Dougrez-Lewis, M. Elahi Akhter, Y. He, and M. Liakata. Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification , arXiv:2402.10735.
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 , arXiv:2402.14228.
J. Dougrez-Lewis, E. Kochkina, M. Liakata and Y. He. Knowledge Graphs for Real-World Rumour Verification, , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
Z. Fang, Y. He and R. Procter. CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
H. Xu, R. Zhao, L. Zhu, J. Du, Y. He. OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models , arXiv:2402.06044, 2024. [Website] [Dataset]
Z. Sun, J. Li, G. Pergola, B.C. Wallace, and Y. He. Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study , The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024.
R. Zhao, W. Zhang, J. Li, L. Zhu, Y. Li, Y. He and L. Gui. NarrativePlay: Interactive Narrative Understanding , The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024.
H. Zhang, Y. Lei, L. Gui, M. Yang, Y. He, H. Wang, R. Xu. CPPO: Continual Learning for Reinforcement Learning with Human Feedback , The 12th International Conference on Learning Representations (ICLR), 2024.
H. Yan, L. Gui, M. Wang, K. Zhang and Y. He. Explainable Recommender with Geometric Information Bottleneck , IEEE Transactions on Knowledge and Data Engineering, to appear.
J. Wang, A. Bhalerao, T. Yin, S. See, Y. He. CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation , IEEE Journal of Biomedical and Health Informatics, to appear.
R. Zhao, W. Zhang, J. Li, L. Zhu, Y. Li, Y. He and L. Gui. NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing , The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.

2023

X. Wang, L. Gui and Y. 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), 2023.
Y. Zhu, J. Si, Y. Zhao, H. Zhu, D. Zhou, Y. He. EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification , The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
L. Zhu, R. Zhao, L. Gui and Y. He. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding, Findings of EMNLP, 2023.
Y. Zhou and Y. He. Causal Inference from Text: Unveiling Interactions between Variables, Findings of EMNLP, 2023.
J. Li, L. Gui, Y. Zhou, D. West, C. Aloisi and Y. He. Exploring Explainable Automated Student Answer Assessment with ChatGPT, Findings of EMNLP, 2023.
H. Yan, L. Kong, L. Gui, Y. Chi, E. Xing, Y. He, K. Zhang. Counterfactual Generation with Identifiability Guarantees , The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, US, 2023.
J. Wang, A. Bhalerao, L. Zhu, and Y. He. Can Prompt Learning Benefit Radiology Report Generation? , arXiv:2308.16269.
J. Lu, S. An, M. Lin, G. Pergola, Y. He, D. Yin, X. Sun and Y. Wu. MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation, arXiv:2308.08239.
J. Si, Y. Zhu, X. Shi, D. Zhou and Y. He. Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources, arXiv:2307.12131.
J. Li, L. Gui, Y. Zhou, D. West, C. Aloisi and Y. He. Distilling ChatGPT for Explainable Automated Student Answer Assessment, arXiv:2305.12962.
J. Li, R. ZHao, Y. He and L. Gui. OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach, arXiv:2305.14973.
J. Lu, G. Pergola, L. Gui and Y. He. Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering, arXiv:2305.04522.
J. Wang, A. Bhalerao, T. Yin, S. See, Y. He. CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation, arXiv:2211.01412.
J. Li, Z. Sun, B. Liang, L. Gui and Y. He. CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models, The 39th Conference on Uncertainty in Artificial Intelligence (UAI), Aug. 2023.
X. Wang, L. Gui and Y. 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), Jul. 2023.
L. Zhu, R. Zhao, G. Pergola and Y. He. Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions, Findings of ACL, Jul. 2023.
H. Yan, L. Gui, M. Wang, K. Zhang and Y. He. Explainable Recommender with Geometric Information Bottleneck, arXiv:2305.05331.
R. Zhao, L. Gui and Y. He. CONE: Unsupervised Contrastive Opinion Extraction, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Jul. 2023.
W. Zhang, L. Gui, R. Procter and Y. He. NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking, The 17th International AAAI Conference on Web and Social Media: News Media and Computational Journalism Workshop, Jun. 2023.
R. Procter, M. Arana Catania, Y. He, M. Liakata, A. Zubiaga, E. Kochkina, R. Zhao. Some Observations on Fact-Checking Work with Implications for Computational Support, The 17th International AAAI Conference on Web and Social Media: News Media and Computational Journalism Workshop, Jun. 2023.
R. Zhao, M. Arana Catania, L. Zhu, E. Kochkina, L. Gui, A. Zubiaga, R. Procter, M. Liakata and Y. He. PANACEA: An Automated Misinformation Detection System on COVID-19, EACL system demonstration track, May. 2023.
X. Tan, G. Pergola and Y. He. Event Temporal Relation Extraction with Bayesian Translational Model, The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), May. 2023.
Z. Fang, Y. He, R. Procter, L.A. Alqazlan and D. Liu. A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System, The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), May. 2023.
J. Lu, J. Li, B.C. Wallace, Y. He and G. Pergola. NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization, Findings of EACL, May. 2023.
H. Li, H. Yan, Y. Li, L. Qian, Y. He and L. Gui. Distinguishability Calibration to In-Context Learning, Findings of EACL, May. 2023.
R. Zhao, L. Gui, H. Yan and Y. He. Tracking Brand-Associated Polarity-Bearing Topics in User Reviews, Transactions of the Association for Computational Linguistics, accepted.
E. Kochkina, T. Hossain, R.L. Logan, M. Arana-Catania, R. Procter, A. Zubiaga, S. Singh, Y. He and M. Liakata. Evaluating the Generalisability of Neural Rumour Verification Models, Information Processing & Management , Volume 60, Issue 1, 2023.
S. Gao, C. Gao, Y. He, J. Zeng, L. Nie, X. Xia, M. Lyu. Code Structure Guided Transformer for Source Code Summarization, ACM Transactions on Software Engineering and Methodology, 32(1):1-32, 2023.

2022

Z. Sun, J. Li, G. Pergola, B.C. Wallace, B. John, N. Greene, J. Kim and Y. He. PHEE: A Dataset for Pharmacovigilance Event Extraction from Text, The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 2022.
J. Lu, X. Tan, G. Pergola, L. Gui and Y. He. Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation, Findings of EMNLP, Dec. 2022.
H. Yan, L. Gui and Y. He. Hierarchical Interpretation of Neural Text Classification, Computational Linguistics, 48 (4): 987–1020, 2022.
J. Wang, A. Bhalerao and Y. He. Cross-modal Prototype Driven Network for Radiology Report Generation, 17th European Conference on Computer Vision (ECCV), Oct. 2022.
H. Yan, L. Gui, W. Li ad Y. He. Addressing Token Uniformity in Transformers via Singular Value Transformation, 38th Conference on Uncertainty in Artificial Intelligence (UAI), Aug. 2022.
R. Adewoyin, R. Dutta and Y. He. RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators, 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
L. Zhu, Z. Fang, G. Pergola, R. Procter and Y. He. Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media, 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
M. Arana Catania, E. Kochkina, A. Zubiaga, M. Liakata, R. Procter and Y. He. Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims, 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
B. Liang, Q. Zhu, X. Li, M. Yang, L. Gui, Y. He and R. 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.
B. Liang, C. Lou, X. Li, M. Yang, L. Gui, Y. He, W. Pei and R. Xu. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network, The 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
J. Dougrez-Lewis, M. Arana Catania, E. Kochkina, M. Liakata and Y. He. PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence, The 5th FEVER Workshop, co-located with ACL May 2022.
S. Salawu, J. Lumsden, Y. He. A Mobile-Based System for Preventing Online Abuse and Cyberbullying, International Journal of Bullying Prevention (ACL), to appear.
B. Liang, Z. Chen, L. Gui, Y. He, M. Yang and R. Xu. Zero-Shot Stance Detection via Contrastive Learning, The Web Conference (WWW), Apr. 2022.
B. Liang, R. Yin, J. Du, L. Gui, Y. He, M. Yang and R. Xu. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis, IEEE Transactions in Affective Computing , vol. 14, pp. 279-293, 2023.
B. Liang, X. Li, L. Gui, Y. Fu, Y. He, M. Yang, R. Xu. Few-Shot Aspect Category Sentiment Analysis via Meta-Learning, ACM Transactions on Information Systems , Volume 41, Issue 1, pp 1–31, 2023.

2021

L. Gui and Y. He. Understanding Patient Reviews with Minimum Supervision, Artificial Intelligence in Medicine , to appear.
X. Tan, G. Pergola and Y. He. Extracting Event Temporal Relations via Hyperbolic Geometry, Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
D. Zhou, J. Wang, L. Zhang and Y. He. Implicit Sentiment Analysis with Event-Centered Text Representation, Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
C. Ye, L. Zhang, D. Zhou, Y. He and J. Wu. Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs, Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
L. Zhang, D. Zhou, C. Lin and Y. He. A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation, Findings of EMNLP, Nov. 2021.
W. Zhang, L. Gui and Y. 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.
H. Yan, L. Gui, G. Pergola and Y. 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.
L. Zhu, G. Pergola, L. Gui, D. Zhou and Y. He. Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
J. Si, D. Zhou, T. Li, X. Shi and Y. He. Topic-aware Evidence Reasoning and Stance-aware Aggregating for Fact Verification, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
J. Dougrez-Lewis, E. Kochkina, M. Liakata and Y. He. Learning Disentangled Latent Topics for Twitter Rumour Veracity Classificationn, Findings of ACL, Aug. 2021.
Z. Fang, Y. He and R. Procter. Query-Driven Topic Model, Findings of ACL, Aug. 2021.
S. Salawu, J. Lumsden and Y. He. A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection, Proceedings of the 5th Workshop on Online Abuse and Harms, co-located with ACL, Aug. 2021.
C. Lou, B. Liang, L. Gui, Y. He, Y. Dang and R. Xu. Affective Dependency Graph for Sarcasm Detection, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Jul. 2021.
B. Liang, R. Yin, J. Du, L. Gui, Y. He, M. Yang and R. Xu. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis, IEEE Transactions in Affective Computing, to appear.
D. Zhou, K. Sun, M. Hu and Y. He. Image Generation from Text with Entity Information Fusion, Knowledge-Based Systems, Vol. 227, 107200, 2021.
G. Pergola, L. Gui and Y. 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.
B. Liang, Y. Fu, L. Gui, M. Yang, J. Du, Y. He and R. Xu. Target-adaptive Graph for Cross-target Stance Detection, The Web Conference (WWW), Apr. 2021.
R. Zhao, L. Gui, G. Pergola and Y. 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), Apr. 2021.
G. Pergola, E. Kochkina, L. Gui, M. Liakata and Y. 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), Apr. 2021.
L. Zhang, D. Zhou, Y. He and Z. Yang. MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces, The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
D. Zhou, M. Zhang, L. Zhang and Y. He. A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness, The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
M. Arana-Catania, F. A. Van Lier, R. Procter, N. Tkachenko, Y. He, A. Zubiaga, M. Liakata. Citizen Participation and Machine Learning for a Better Democracy, Digital Government: Research and Practice, to appear.
D. Zhou, M. Zhang, L. Zhang and Y. He. A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness, The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
D. Zhou, M. Zhang, Y. Yang and Y. He. . Hierarchical State Recurrent Neural Network for Social Emotion Ranking, Computer Speech & Language, Vol. 68, 101177, 2021.

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