Recent publications
Article
Xue, Y, Wan, J & Feng, Y 2026, 'Temporal Embedding-Enhanced Language Models for Chronological Social Event Summarization', IEEE Transactions on Computational Social Systems.
Conference contribution
Zhou, K, Leonardis, A & Feng, Y 2026, Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation. in Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, ACL, The 2026 Conference on Empirical Methods in Natural Language Processing, Budapest, Hungary, 24/10/26.
Zhang, R, Njuguna, T & Feng, Y 2026, Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili. in K Huang, F Mo, P Chen & M Jiang (eds), Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026). Association for Computational Linguistics, ACL, San Diego, United States, pp. 181-190, 1st Workshop on Multilinguality in the Era of Large Language Models, San Diego, California, United States, 4/07/26. https://doi.org/10.18653/v1/2026.mellm-1.17
Lu, M, Zhang, Y, Wu, M & Feng, Y 2026, From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation. in M Liakata, VP Moreira, J Zhang & D Jurgens (eds), Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Annual Meeting of the Association for Computational Linguistics (ACL), Association for Computational Linguistics, ACL, pp. 17064–17078, The 64th Annual Meeting of the Association for Computational Linguistics, San Diego, California, United States, 2/07/26. https://doi.org/10.18653/v1/2026.acl-long.776
Qin, M & Feng, Y 2026, Proactive Safety Alignment: Enabling Proactive Initiative in Multi-Turn Defence. in Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, ACL, The 2026 Conference on Empirical Methods in Natural Language Processing, Budapest, Hungary, 24/10/26.
Gamboa, LC, Feng, Y & Lee, M 2026, Robust Bias Evaluation with FilBBQ: A Filipino Bias Benchmark for Question-Answering Language Models. in Proceedings of The Fifteenth Language Resources and Evaluation Conference. Association for Computational Linguistics, ACL, Fifteenth Language Resources and Evaluation Conference, Palma, Spain, 13/05/26.
Yu, Y, Lee, M & Feng, Y 2026, STRETCH the Boundaries: A Unified Self-Taught Framework for Progressive LLM Evolution. in Findings of the Association for Computational Linguistics: EMNLP 2026. Association for Computational Linguistics, ACL.
Gamboa, LCL, Feng, Y & Lee, M 2025, Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages. in A Faleńska, C Basta, M Costa-jussà, K Stańczak & D Nozza (eds), Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP). Association for Computational Linguistics, ACL, pp. 195-205, The 6th Workshop on Gender Bias in Natural Language Processing at ACL 2025, Vienna, Austria, 1/08/25. https://doi.org/10.18653/v1/2025.gebnlp-1.19
Ftouhi, F, Dsouza, R, Gamboa, L, Liu, J, Abbas, A, Feng, Y, Ali, M, Lee, M & Kovatchev, V 2025, OldJoe at AVeriTeC: In-context learning for fact-checking. in M Akhtar, R Aly, C Christodoulopoulos, O Cocarascu, Z Guo, A Mittal, M Schlichtkrull, J Thorne & A Vlachos (eds), Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER). Association for Computational Linguistics, ACL, pp. 238-246, 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 27/07/25. https://doi.org/10.18653/v1/2025.fever-1.18
Gamboa, LCL, Feng, Y & Lee, M 2025, Social Bias in Multilingual Language Models: A Survey. in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, ACL, pp. 27845-27868, The 2025 Conference on Empirical Methods in Natural Language Processing, Suzhou, China, 5/11/25. https://doi.org/10.18653/v1/2025.emnlp-main.1416
Paper
Zhou, K, Kalmykov, V & Feng, Y 2026, 'RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation', Paper presented at AgentSearch, Naarm, Australia, 24/07/26 - 24/07/26.
Preprint
Gamboa, LCL, Feng, Y & Lee, M 2026 'Robust Bias Evaluation with FilBBQ: A Filipino Bias Benchmark for Question-Answering Language Models' arXiv. https://doi.org/10.48550/arXiv.2602.14466
Yu, Y, Lee, M & Feng, Y 2026 'STRETCH the Boundaries: A Unified Self-Taught Framework for Progressive LLM Evolution' arXiv. https://doi.org/10.48550/arXiv.2609.18642
Gamboa, LCL, Feng, Y & Lee, M 2025 'Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages' arXiv, pp. 1-12. https://doi.org/10.48550/arXiv.2506.07249
Leon, FLD, Wang, Y, Feng, Y & Lee, MG 2025 'UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection' arXiv. https://doi.org/10.48550/arXiv.2504.08543
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