2 papers
cs.HC2023
AsyncMLD: Asynchronous Multi-LLM Framework for Dialogue Recommendation System
Naoki Yoshimaru, Motoharu Okuma, Takamasa Iio +1
We have reached a practical and realistic phase in human-support dialogue agents by developing a large language model (LLM). However, when requiring expert knowledge or anticipatin…
cs.RO2023
A Summarized History-based Dialogue System for Amnesia-Free Prompt Updates
Hyejin Hong, Hibiki Kawano, Takuto Maekawa +3
In today's society, information overload presents challenges in providing optimal recommendations. Consequently, the importance of dialogue systems that can discern and provide the…