Knowledge Tree
31st International Conference on Computational Linguistics
Also known as: Proceedings of the 31st International Conference on Computational Linguistics
Facts (10)
Sources
A Survey of Incorporating Psychological Theories in LLMs - arXiv arxiv.org 10 facts
referenceZhe Hu, Hou Pong Chan, Jing Li, and Yu Yin introduced 'Debate-to-write', a persona-driven multi-agent framework for diverse argument generation, in a 2025 paper presented at the 31st International Conference on Computational Linguistics.
referenceSneheel Sarangi, Maha Elgarf, and Hanan Salam introduced 'Decompose-ToM', a method for enhancing theory of mind reasoning in large language models through simulation and task decomposition, in a 2025 paper presented at the 31st International Conference on Computational Linguistics.
referenceThe paper 'RAIDEN benchmark: Evaluating role-playing conversational agents with measurement-driven custom dialogues' was published in the Proceedings of the 31st International Conference on Computational Linguistics in January 2025.
referenceSujatha Das Gollapalli and See-Kiong Ng authored 'PIRsuader: A persuasive chatbot for mitigating psychological insulin resistance in type-2 diabetic patients', presented at the 31st International Conference on Computational Linguistics.
referenceYeo et al. (2025) introduced PADO, a framework using personality-induced multi-agents to detect OCEAN personality traits in human-generated texts, presented at the 31st International Conference on Computational Linguistics in Abu Dhabi.
referenceXinyu Zhou et al. (2025) authored 'Linguistic minimal pairs elicit linguistic similarity in large language models', published in the Proceedings of the 31st International Conference on Computational Linguistics, which explores how linguistic minimal pairs affect the similarity representations in large language models.
referenceThe paper 'From traits to empathy: Personality-aware multimodal empathetic response generation' was published in the Proceedings of the 31st International Conference on Computational Linguistics in January 2025.
referenceZeng et al. (2025) studied the evolution of linguistic regions and semantics alignment in multilingual Large Language Models, concluding that these models converge to a lingua franca, presented at the 31st International Conference on Computational Linguistics.
referenceThe paper 'Beyond discrete personas: Personality modeling through journal intensive conversations' was published in the Proceedings of the 31st International Conference on Computational Linguistics in January 2025.
claimYe et al. (2025) developed 'SweetieChat', a strategy-enhanced role-playing framework designed for emotional support agents, presented at the 31st International Conference on Computational Linguistics.