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Pages
谈星伟 (Xingwei Tan)
Research Associate in NLP at the University of Sheffield, working on reasoning in large language models.
People
PhD students and collaborators I work with.
Academic Service
Area chairing, reviewing, programme committees and mentoring.
publications
A New Samples Selecting Method Based on K Nearest Neighbors
Published in IEEE BigComp 2017, 2017
Kai Yang, Yi Cai, Zhiwei Cai, Xingwei Tan, Haoran Xie, Tak-Lam Wong, and Wai Hong Chan
Recognizing conflict opinions in aspect-level sentiment classification with dual attention networks
Published in EMNLP 2019, 2019
Xingwei Tan, Yi Cai, and Changxi Zhu
Improving aspect-based sentiment analysis via aligning aspect embedding
Published in Neurocomputing, 2020
Xingwei Tan, Yi Cai, Jingyun Xu, Ho-Fung Leung, Wenhao Chen, and Qing Li
Detecting dependency-related sentiment features for aspect-level sentiment classification
Published in IEEE Transactions on Affective Computing, 2021
Xing Zhang, Jingyun Xu, Yi Cai, Xingwei Tan, and Changxi Zhu
Extracting Event Temporal Relations via Hyperbolic Geometry
Published in EMNLP 2021, 2021
Xingwei Tan, Gabriele Pergola, and Yulan He
Learning refined features for open-world text classification with class description and commonsense knowledge
Published in World Wide Web, 2022
Haopeng Ren, Zeting Li, Yi Cai, Xingwei Tan, Xin Wu
Event-centric question answering via contrastive learning and invertible event transformation
Published in Findings of EMNLP 2022, 2022
Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui, and Yulan He
Event Temporal Relation Extraction with Bayesian Translational Model
Published in EACL 2023, 2023
Xingwei Tan, Gabriele Pergola, and Yulan He
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation
Published in NAACL 2024, 2024
Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, and Yulan He
SafeSpeech: a comprehensive and interactive tool for analysing sexist and abusive language in conversations
Published in NAACL 2025 System Demonstration, 2025
Xingwei Tan, Chen Lyu, Hafiz Muhammad Umer, Sahrish Khan, Mahathi Parvatham, Lois Arthurs, Simon Cullen, Shelley Wilson, Arshad Jhumka, and Gabriele Pergola
Cascading Large Language Models for Salient Event Graph Generation
Published in NAACL 2025, 2025
Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, and Yulan He
What makes a conversation interesting? Linguistic features predictive of interest in educational conversations between teachers and learners of English
Published in CogSci 2025, 2025
Mahathi Parvatham, Xingwei Tan, Gabriele Pergola, and Chiara Gambi
Enhancing logical reasoning in language models via symbolically-guided monte carlo process supervision
Published in EMNLP 2025, 2025
Xingwei Tan, Marco Valentino, Mahmud Elahi Akhter, Maria Liakata, Nikolaos Aletras
Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
Published in EMNLP 2025, 2025
Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, Nikolaos Aletras
IntrEx: A Dataset for Modeling Engagement in Educational Conversations
Published in Findings of EMNLP 2025, 2025
Xingwei Tan, Mahathi Parvatham, Chiara Gambi, and Gabriele Pergola
A rapid evidence review of evaluation techniques for large language models in legal use cases: trends, gaps, and recommendations for future research
Published in AI & SOCIETY, 2025
Joshua Kelsall, Xingwei Tan, Aislinn Bergin, Jiahong Chen, Maria Waheed, Tom Sorell, Rob Procter, Maria Liakata, Jenny Chim, and Serene Chi
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
Published in AACL-IJCNLP 2025, 2025
Ahmed Alajrami, Xingwei Tan, and Nikolaos Aletras
Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models
Published in Findings of ACL 2026, 2026
Mingzi Cao, Xingwei Tan, Mahmud Elahi Akhter, Marco Valentino, Maria Liakata, Xi Wang, and Nikolaos Aletras
No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding
Published in Transactions of the Association for Computational Linguistics (TACL), 2026
Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi, and Nikolaos Aletras
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift
Published in EMNLP 2026 (to appear), 2026
Constantinos Karouzos, Xingwei Tan, and Nikolaos Aletras
Compliance vs. Sensibility: On the Reasoning Controllability in Large Language Models
Published in Findings of EMNLP 2026 (to appear), 2026
Xingwei Tan, Marco Valentino, Mahmud Elahi Akhter, Yuxiang Zhou, Maria Liakata, and Nikolaos Aletras
Can Confidence Estimates Decide When Chain-of-Thought Is Necessary for LLMs?
Published in Findings of AACL-IJCNLP 2026 (to appear), 2026
Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, and Nikolaos Aletras
teaching
Logic and Verification (B.Sc.)
Teaching Assistant, University of Warwick, Department of Computer Science, 2020
Teaching assistant on the undergraduate Logic and Verification module, 2020 – 2023.
Natural Language Processing (M.Sc.)
Teaching Assistant, University of Warwick, Department of Computer Science, 2020
Teaching assistant on the M.Sc. Natural Language Processing module, 2020 – 2024.
Formal Systems Development (M.Sc.)
Teaching Assistant, University of Warwick, Department of Computer Science, 2021
Teaching assistant on the M.Sc. Formal Systems Development module, 2021 – 2022.
Natural Language Processing
Guest Lecturer, University of Sheffield, School of Computer Science, 2024
Guest lectures on the Natural Language Processing module, 2024 – present.