研究業績リスト
ジャーナル論文 - rm_published_papers: International Conference Proceedings
A Persona Dialogue Dataset of Lesser-Known Characters for Fairer Evaluation of Role-Playing LLMs
公開済 12/2025
Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation (PACLIC 39)
ジャーナル論文 - rm_published_papers: International Conference Proceedings
公開済 12/2025
Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation (PACLIC 39)
ジャーナル論文 - rm_published_papers: Others
公開済 12/2025
Journal of Natural Language Processing, 32, 4
ジャーナル論文 - rm_published_papers: International Conference Proceedings
When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue
公開済 11/2025
Proceedings of the 13th International Conference on Human-Agent Interaction (HAI 2025)
ジャーナル論文 - rm_published_papers: International Conference Proceedings
公開済 11/2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Enhancing Coherence and Interestingness in Knowledge-Grounded Dialogue Generation
公開済 10/2025
Proceedings of the 18th International Natural Language Generation Conference (INLG 2025)
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Task Proficiency-Aware Dialogue Analysis in a Real-Time Cooking Game Environment
公開済 09/2025
Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2025), 764 - 779
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Analyzing Dialogue System Behavior in a Specific Situation Requiring Interpersonal Consideration
公開済 09/2025
Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL2025), 166 - 171
ジャーナル論文 - rm_published_papers: International Conference Proceedings
公開済 09/2025
Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL2025), 449 - 460
ジャーナル論文 - rm_published_papers: Scientific Journal
Recommendation System based on Dialogue using Speaker Summary and Augmented Item Information
公開済 01/03/2025
Transactions of the Japanese Society for Artificial Intelligence, 40, 2, A-O51_1 - 10
Dialogue contains a wealth of information about speakers’ preferences and experiences, which can be leveraged to personalize and suggest advanced information in various systems. The task of a conversational recommender system is to make recommendations through dialogue. However, existing approaches do not adequately consider the preference information obtained from the dialogue. Moreover, dialogue-based recommendations face unique challenges, such as noise during dialogue and a lack of detailed item information. We introduce the SumRec framework for dialogue-based recommendations, which utilizes information from speaker summaries and recommendation sentences. In this framework, a large language model (LLM) generates summaries focusing on the speaker and sentences recommending items, thereby extracting features of both the speaker and the item. A speaker summary condenses the dialogue to highlight the speaker’s interests, preferences, and experiences. Recommendation sentences describe the type of users who would prefer the item, facilitating an appropriate link between the speaker and the item information. The score estimator then uses this information to predict how likely the speaker is to appreciate the item. To train and evaluate SumRec, we developed ChatRec, a dataset for recommending tourist attractions based on chat dialogues between two individuals. This dataset includes information on tourist destinations, their rating scores by speakers, and predicted scores by third parties. Experimental results using ChatRec showed that SumRec outperformed the baseline method, which relied solely on dialogue and item information. Further experiments with REDIAL, an existing recommendation dialogue dataset, demonstrated similar performance improvements with SumRec.