Elimination Game
A benchmarking framework for testing the intelligence of large language models in complex social games, inspired by the game ‘Werewolf’.
Product Details
Elimination Game is an innovative benchmarking framework for evaluating the performance of large language models (LLMs) in complex social environments. It simulates a multi-player competition scenario similar to 'Werewolf' and tests the model's social reasoning, strategy selection and deception capabilities through public discussions, private communication and voting elimination mechanisms. This framework not only provides an important tool for studying the intelligence of AI in social games, but also provides developers with the opportunity to gain insights into the potential of models in real-life social scenarios. Its main advantages include multi-round interaction design, dynamic alliance and defection mechanisms, and detailed evaluation indicators that can comprehensively measure the social ability of AI.
Main Features
How to Use
Target Users
This product is suitable for artificial intelligence researchers, developers, and professionals interested in social gaming and AI social capabilities. It provides a unique perspective and tools for studying the performance of language models in complex social environments, helping to promote the research and development of AI in the field of social intelligence.
Examples
Researchers use the Elimination Game to test the performance of different language models on social reasoning and deception capabilities to provide data support for model optimization.
Educational institutions use it as a teaching tool to help students understand how AI behaves in complex social scenarios.
Developers use this framework to evaluate and improve the strategy selection and social interaction capabilities of self-developed language models.
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