• Z. Shen, H. Yan, L. Zhang, Z. Hu, Y. Du and Y. He. CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation . The 2025 Conference on Empirical Methods in Natural Language Processing EMNLP, 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.
• W. Liu, S. Qi, X. Wang, C. Qian, Y. Du and Y. He. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning . 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.
• Y. Zhou, H. Xu, D.C. Ong, P. Slovak and Y. He. Modeling Subjectivity in Cognitive Appraisal with Language Models . Findings of the EMNLP, 2025.
• S. Liang, L. Zhang, H. Zhu, W. Wang, Y. He and D. Zhou. RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering . Findings of the EMNLP, 2025.
• Runcong Zhao, Artem Borov, Jiazheng Li, Yulan He. LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop . The 2025 Conference on Empirical Methods in Natural Language Processing EMNLP, 2025. [Demo]
• J. Li, A. Bobrov, D. West, C. Aloisi and Y. He. AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment . The 2025 Conference on Empirical Methods in Natural Language Processing EMNLP, 2025. [Demo]
• R. Zhao, Q. Zhu, H. Xu, B. Liang, Y. He, L. Gui. SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding arXiv 2507.04189, 2025.
• Y. Xiang, H. Yan, S. Ouyang, L. Gui, Y. He. SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers Conference on Language Modeling COLM 2025.
• J. Li, H. Yan and Y. He. Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference. The 63rd Annual Meeting of the Association for Computational Linguistics ACL, 2025.
• L. Zhang, J. Wu, D. Zhou and Y. He. PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. The 63rd Annual Meeting of the Association for Computational Linguistics ACL, 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.
• J. Wu, W. Yin, Y. Jiang, Z. Wang, Z. Xi, R. Fang, L. Zhang, Y. He, D. Zhou, P. Xie and F. Huang. WebWalker: Benchmarking LLMs in Web Traversal. The 63rd Annual Meeting of the Association for Computational Linguistics ACL, 2025.
• J. Wu, Z. Wang, L. Zhang, Y. Lai, Y. He and D. Zhou. SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. 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.
• H. Xu, S. Qi, J. Li, Y. Zhou, J. Du, C. Catmur and Y. He. EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States. Findings of the ACL, 2025.
• L. Zhang, Z. Gao, D. Zhou and Y. He. Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. 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.
• S. Qi, R. Cao, Y. He and Z. Yuan. Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization. Findings of the ACL, 2025.
• C.D. Bonaventura, B. McGillivray, Y. He and A. Meroño-Peñuela. Hatevolution: What Static Benchmarks Don't Tell Us. Findings of the ACL, 2025.
• J. Dougrez-Lewis, M. Elahi Akhter, F. Ruggeri, S. Löbbers, Y. He and M. Liakata. Assessing the Reasoning Abilities of LLMs in the Context of Evidence-based Claim Verification. Findings of the ACL, 2025.
• Y. Zhang, Y. He and D. Zhou. Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. 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 and R. Xu. COPR: Continual Human Preference Learning via Optimal Policy Regularization. Findings of the ACL, 2025.
• H. Yan, L. Zhang, J. Li, Z. Shen and Y. He. LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning. The 42nd International Conference on Machine Learning ICML, 2025.
• Q. Yin, C.T. Leong, H. Zhang, M. Zhu, H. Yan, Q. Zhang, Y. He, W. Li, J. Wang, Y. Zhang and L. Yang. Constrain Alignment with Sparse Autoencoder. The 42nd International Conference on Machine Learning ICML, 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.
• H. Yan, X. Cui, L. Yin, P.P. Liang, Y. He and Y. Wang. The Multi-Faceted Monosemanticity in Multimodal Representations. arXiv:2502.14888, 2025.
• A. Suzuki, Y. He, F. Tian and Z. Wang. Hallucinations are Inevitable but Statistically Negligible. arXiv:2502.12187, 2025.
• X. Tan, Y. Zhou, G. Pergola and Y. He. Cascading Large Language Models for Salient Event Graph Generation. 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics NAACL, 2025.
• Z. Sun, J. Li, G. Pergola and Y. He. ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language. The 39th AAAI Conference on Artificial Intelligence AAAI, 2025.
• J. Li, A. Bobrov, D. West, C. Aloisi and Y. He. An Automated Explainable Educational Assessment System Built on LLMs. The 39th AAAI Conference on Artificial Intelligence AAAI, 2025.
• C. Zhang, L. Zhang, J. Wu, Y. He and D. Zhou. Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment. The 39th AAAI Conference on Artificial Intelligence AAAI, 2025.
• L. Zhu, J. Wang and Y. He. LLMLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation. The 31st International Conference on Computational Linguistics COLING, 2025.
• 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. The 31st International Conference on Computational Linguistics COLING, 2025.
• Y. Zhang, P. Li, Y. Lai, Y. He and D. Zhou. LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. The 31st International Conference on Computational Linguistics COLING, 2025.

• J. Yu, Y. Zhou, Y. He, N.L. Zhang and R. Silva. Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning. arXiv:2410.14375, 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.
• J. Lu, J. Li, S. An, M. Zhao, Y. He, D. Yin and X. Sun. Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence. 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.
• J. Li, H. Xu, Z. Sun, Y. Zhou, D. West, C. Aloisi and Y. He. Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationales in Science Question Scoring. Findings of EMNLP, 2024.
• J. Wang, L. Zhu, A. Bhalerao and Y. He. Scene Graph Aided Radiology Report Generation. arXiv:2403.05687, 2024.
• S. Qi, Y. He and Z. Yuan. Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation. arXiv:2404.12041, 2024.
• Q. Zhu, R. Zhao, J. Du, L. Gui and Y. He. Questioning the Unknown: Optimising Multi-Agent Collaboration in Narrative-Driven 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.
• H. Xu, R. Zhao, L. Zhu, J. Du and Y. He. OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. The 62nd Annual Meeting of the Association for Computational Linguistics ACL, 2024. [Website] [Dataset]
• A. Bobrov, D. Saltenis, Z. Sun, G. Pergola and Y. He. DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information. The 62nd Annual Meeting of the Association for Computational Linguistics ACL, 2024. [Video]
• 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.
• 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.
• X. Tan, Y. Zhou, G. Pergola and Y. He. Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics NAACL, 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.
• 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.
• Y. Zhang, Y. Lai, Z. Wang, P. Li, D. Zhou and Y. He. Opinions Are Not Always Positive: Debiasing Opinion Summarization With Model-Specific and Model-Agnostic Methods. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation LREC-COLING, 2024.
• 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, Malta, 2024.
• H. Zhang, Y. Lei, L. Gui, M. Yang, Y. He, H. Wang and R. Xu. CPPO: Continual Learning for Reinforcement Learning with Human Feedback. The 12th International Conference on Learning Representations ICLR, 2024.
• S.H. Barlow, S. Chicklore, Y. He, S. Ourselin, T. Wagner, A. Barnes and G.J. Cook. Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning. BMC Medical Informatics and Decision Making, 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 and 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.

• 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, Singapore, Dec. 2023.
• Y. Zhu, J. Si, Y. Zhao, H. Zhu, D. Zhou and 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, Singapore, Dec. 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 and 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, 2023.
• 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, 2023.
• J. Si, Y. Zhu, X. Shi, D. Zhou and Y. He. Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources . arXiv:2307.12131, 2023.
• J. Li, R. Zhao, Y. He and L. Gui. OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach . arXiv:2305.14973, 2023.
• J. Lu, G. Pergola, L. Gui and Y. He. Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering . arXiv:2305.04522, 2023.
• 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, Pittsburgh, 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, Toronto, 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, 2023.
• 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 (ICWSM): News Media and Computational Journalism Workshop, Jun. 2023.
• R. Procter, M. Arana Catania, Y. He, M. Liakata, A. Zubiaga, E. Kochkina and R. Zhao. Some Observations on Fact-Checking Work with Implications for Computational Support . The 17th International AAAI Conference on Web and Social Media (ICWSM): 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, 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, 2023.
• H. Li, H. Yan, Y. Li, L. Qian, Y. He and L. Gui. Distinguishability Calibration to In-Context Learning . Findings of EACL, 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, Vol. 11, pp. 404–418, 2023.
• 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 and M. Lyu. Code Structure Guided Transformer for Source Code Summarization . ACM Transactions on Software Engineering and Methodology, 32(1):1–32, 2023.
• 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 and R. Xu. Few-Shot Aspect Category Sentiment Analysis via Meta-Learning . ACM Transactions on Information Systems, Volume 41, Issue 1, pp. 1–31, 2023.

• 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, 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, Tel-Aviv, Israel, Oct. 2022.
• H. Yan, L. Gui, W. Li and Y. He. Addressing Token Uniformity in Transformers via Singular Value Transformation . 38th Conference on Uncertainty in Artificial Intelligence UAI, Eindhoven, Netherlands, Aug. 2022.
• R. Adewoyin, R. Dutta and Y. He. RSTGen: Imbuing Fine-Grained Interpretable Control into Long-Form Text 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. [dataset]
• 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 and Y. He. A Mobile-Based System for Preventing Online Abuse and Cyberbullying . International Journal of Bullying Prevention, 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.

• 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, 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 Classification . Findings of ACL, 2021.
• Z. Fang, Y. He and R. Procter. Query-Driven Topic Model . Findings of ACL, 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, 2021. [dataset]
• 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 and M. Liakata. Citizen Participation and Machine Learning for a Better Democracy . Digital Government: Research and Practice, to appear.
• 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.
• L. Zhang, C. Lin, D. Zhou, Y. He and M. Zhang. A Bayesian End-to-End Model with Estimated Uncertainties for Simple Question Answering over Knowledge Bases . Computer Speech & Language, Vol. 66, 101167, 2021.