PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation

• URL: http://arxiv.org/abs/2409.06820v3
• Date: Sun, 09 Feb 2025 20:54:10 GMT
• Title: PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation
• Authors: Ilya Gusev,
• Abstract summary: We introduce a benchmark for evaluating the role-playing capabilities of language models. We leverage different language models to simulate users in dynamic, multi-turn conversations and assess the resulting dialogues. We evaluated more than 40 models in both English and Russian, with each model participating in 64 conversations with 8 characters and 8 situations.
• Score: 0.0
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• Abstract: We introduce a benchmark for evaluating the role-playing capabilities of language models. Our approach leverages different language models to simulate users in dynamic, multi-turn conversations and assess the resulting dialogues. Our methodology involves three main components: a player model that adopts a specific character role, an interrogator model that simulates user behavior in a specific situation, and a judge model ensemble that evaluates conversation quality with 3 metrics: character consistency, entertainment value, and language fluency. We evaluated more than 40 models in both English and Russian, with each model participating in 64 conversations with 8 characters and 8 situations. We conducted experiments comparing automated evaluations with human annotations to validate our approach, demonstrating strong correlations across multiple criteria. This work provides a foundation for a robust and dynamic evaluation of different model capabilities in interactive scenarios.

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