A Summarized History-based Dialogue System for Amnesia-Free Prompt Updates

概要

In today’s society, information overload presents challenges in providing optimal recommendations. Consequently, the importance of dialogue systems that can discern and provide the necessary information through dialogue is increasingly recognized. However, some concerns existing dialogue systems rely on pre-trained models and need help to cope with real-time or insufficient information. To address these concerns, models that allow the addition of missing information to dialogue robots are being proposed. Yet, maintaining the integrity of previous conversation history while integrating new data remains a formidable challenge. This paper presents a novel system for dialogue robots designed to remember userspecific characteristics by retaining past conversation history even as new information is added.

引用情報

Hyejin Hong, Hibiki Kawano, Takuto Maekawa, Naoki Yoshimaru, Takamasa Iio, Kenji Hatano, A Summarized History-based Dialogue System for Amnesia-Free Prompt Updates, Proceedings of the Dialogue Robot Competition 2023, Vol.arXiv:2312.13891, 2023-12-22, DOI: 10.48550/arXiv.2312.13891.