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Chuyuan Li

Postdoc Researcher
University of British Columbia
chuyuan.li (at) ubc.ca


About Me

Hey! I am Chuyuan 李楚源. Usually, I go by Lisa.

I am a postdoc researcher at the University of British Columbia, working with Giuseppe Carenini. I obtained my Ph.D. at Lorraine Research Laboratory in Computer Science and its Applications (LORIA) and Université de Lorraine (UL). During my Ph.D. years, I was fortunately advised by Maxime Amblard and Chloé Braud. Prior to that, I earned my Master’s in Computational Linguistique from Université Paris Cité (formerly Paris Diderot) and my bachelor’s in French from Wuhan University of Technology.

Research Interests

I have broad interests in natural language processing and computational linguistics. Some of the topics that I am currently researching include:

News

Publications

  1. Findings EMNLP
    Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
    Chuyuan Li, Austin Xu, Shafiq Joty, Giuseppe Carenini
    Findings of the Empirical Methods in Natural Language Processing (Findings EMNLP), 2025.
    PDF Code Poster

  2. EMNLP
    CEMTM: Contextual Embedding-based Multimodal Topic Modeling
    Amirhossein Abaskohi, Raymond Li, Chuyuan Li, Shafiq Joty, and Giuseppe Carenini
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
    PDF

  3. ACL
    Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection
    Chuyuan Li, Raymond Li, Thalia S. Field, and Giuseppe Carenini
    Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
    PDF Code

  4. Findings ACL
    Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models
    Raymond Li, Chuyuan Li, Gabriel Murray, and Giuseppe Carenini
    Findings of the Association for Computational Linguistics (Findings ACL), 2025.
    PDF

  5. On Large Foundation Models and Alzheimer's Disease Detection
    Chuyuan Li, Giuseppe Carenini, Thalia S. Field
    Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health), NAACL, 2025.
    PDF

  6. Multimodal Classification of Alzheimer's Disease by Combining Facial and Eye-tracking Data
    Shih-Han Chou, Miini Teng, Harshinee Sriram, Chuyuan Li, Giuseppe Carenini, Cristina Conati, Thalia S. Field, Hyeju Jang, Gabriel Murray
    Proceedings of the 4th Machine Learning for Health Symposium (CL4H), PMLR, 2024.
    PDF

  7. Dialogue Discourse Parsing as Generation: a Sequence-to-Sequence LLM-based Approach
    Chuyuan Li, Yuwei Yin, and Giuseppe Carenini
    Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGdial), 2024.
    PDF Code Best Paper Award

  8. Coherence-based Dialogue Discourse Structure Extraction using Open-Source Large Language Models
    Gaetano Cimino, Chuyuan Li, Giuseppe Carenini, and Vincenzo Deufemia
    Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGdial), 2024.
    PDF

  9. Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
    Chuyuan Li, Patrick Huber, Wen Xiao, Maxime Amblard, Chloé Braud and Giuseppe Carenini.
    Findings of the European Chapter of the Association for Computational Linguistics (Findings EACL), 2023.
    PDF Code

  10. Multi-Task Learning for Depression Detection in Dialogs
    Chuyuan Li, Chloé Braud, and Maxime Amblard
    Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGdial), 2022.
    PDF Code

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