WereWolf-Plus: An Update of Werewolf Game setting Based on DSGBench
On the map: LLM reasoning → Reasoning for agents, planning and code
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Abstract (arXiv)
With the rapid development of LLM-based agents, increasing attention has been given to their social interaction and strategic reasoning capabilities. However, existing Werewolf-based benchmarking platforms suffer from overly simplified game settings, incomplete evaluation metrics, and poor scalability. To address these limitations, we propose WereWolf-Plus, a multi-model, multi-dimensional, and multi-method benchmarking platform for evaluating multi-agent strategic reasoning in the Werewolf game. The platform offers strong extensibility, supporting customizable configurations for roles such as Seer, Witch, Hunter, Guard, and Sheriff, along with flexible model assignment and reasoning enhancement strategies for different roles. In addition, we introduce a comprehensive set of quantitative evaluation metrics for all special roles, werewolves, and the sheriff, and enrich the assessment dimensions for agent reasoning ability, cooperation capacity, and social influence. WereWolf-Plus provides a more flexible and reliable environment for advancing research on inference and strategic interaction within multi-agent communities. Our code is open sourced at https://github.com/MinstrelsyXia/WereWolfPlus.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Reasoning for agents, planning and code, one of 17 directions in LLM reasoning. Builds on 3 of its 4 references that are in the map. First posted on arXiv 15 Jun 2025.
Builds on
3 of 4 references.
References · 3
- 2023Exploring Large Language Models for Communication Games: An Empirical Study on Werewolfcited by 241
- 2025DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environmentscited by 23
- 2024Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Gamecited by 13
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- 2025Verbal Werewolf: Engage Users with Verbalized Agentic Werewolf Game Framework
- 2024Enhance Reasoning for Large Language Models in the Game Werewolf
- 2025MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind
- 2025Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies
- 2023Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
- 2024An Implementation of Werewolf Agent That does not Truly Trust LLMs
- 2026Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information
- 2026Social Gym and SPaRTan: Benchmarking and Improving LLM Social Reasoning via Multi-Agent Game Tournaments