Related papers: Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information

Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information

URL: http://arxiv.org/abs/2603.07111v1
Date: Sat, 07 Mar 2026 08:41:46 GMT
Title: Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information
Abstract summary: Werewolf Game is a communication game where players' reasoning and discussion skills are essential.<n>We present a Werewolf AI agent developed for the AIWolfDial 2024 shared task, co-hosted with the 17th INLG.
Score: 2.3101858435998346
License: http://creativecommons.org/licenses/by/4.0/
Abstract: The Werewolf Game is a communication game where players' reasoning and discussion skills are essential. In this study, we present a Werewolf AI agent developed for the AIWolfDial 2024 shared task, co-hosted with the 17th INLG. In recent years, large language models like ChatGPT have garnered attention for their exceptional response generation and reasoning capabilities. We thus develop the LLM-based agents for the Werewolf Game. This study aims to enhance the consistency of the agent's utterances by utilizing dialogue summaries generated by LLMs and manually designed personas and utterance examples. By analyzing self-match game logs, we demonstrate that the agent's utterances are contextually consistent and that the character, including tone, is maintained throughout the game.

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