Characterizing the Response Space of Questions: a Corpus Study for English and Polish. - Jonathan Ginzburg; Zulipiye Yusupujiang; Chuyuan Li; Kexin Ren; Pawel Lupkowski (SIGdial, 2019)

Investigation par méthodes d'apprentissage des spécificités langagières propres aux personnes avec schizophrénie (Investigating Learning Methods Applied to Language Specificity of Persons with Schizophrenia). - Maxime Amblard; Chloé Braud; Chuyuan Li; Caroline Demily; Nicolas Franck; Michel Musiol (JEP-TALN-RECITAL (2), 2020)

Quantification Annotation in ISO 24617-12, Second Draft. - Harry Bunt; Maxime Amblard; Johan Bos; Karën Fort; Bruno Guillaume; Philippe de Groote; Chuyuan Li; Pierre Ludmann; Michel Musiol; Siyana Pavlova; Guy Perrier; Sylvain Pogodalla (LREC, 2022)

Multi-Task Learning for Depression Detection in Dialogs. - Chuyuan Li; Chloé Braud; Maxime Amblard (SIGDIAL, 2022)

Characterizing the Response Space of Questions: data and theory. - Jonathan Ginzburg; Zulipiye Yusupujiang; Chuyuan Li; Kexin Ren; Aleksandra Kucharska; Pawel Lupkowski (Dialogue Discourse, 2022)

Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues. - Chuyuan Li; Patrick Huber; Wen Xiao; Maxime Amblard; Chloé Braud; Giuseppe Carenini (EACL (Findings), 2023)

Facing Data Scarcity in Dialogues for Discourse Structure Discovery and Prediction. (Détecter et prédire la structure du discours dans les dialogues face à la rareté des données). - Chuyuan Li (2023)

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 Shoshana Field; Hyeju Jang; Gabriel Murray (ML4H@NeurIPS, 2024)

Coherence-based Dialogue Discourse Structure Extraction using Open-Source Large Language Models. - Gaetano Cimino; Chuyuan Li; Giuseppe Carenini; Vincenzo Deufemia (SIGDIAL, 2024)

Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach. - Chuyuan Li; Yuwei Yin; Giuseppe Carenini (SIGDIAL, 2024)

Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection. - Chuyuan Li; Raymond Li; Thalia Shoshana Field; Giuseppe Carenini (ACL (1), 2025)

Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models. - Raymond Li; Chuyuan Li; Gabriel Murray; Giuseppe Carenini (ACL (Findings), 2025)

Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing. - Juntai Cao; Xiang Zhang; Raymond Li; Chuyuan Li; Shafiq Joty; Giuseppe Carenini (CoRR, 2025)