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Keyword: debate ×Clear all

1 claim from 1 paper

1. Computer Science › Topic Modeling

   Debating with More Persuasive LLMs Leads to More Truthful Answers

   Khan, John, Valentine et al. · arXiv (Cornell University) · 2024

   The paper tests whether weaker judges can assess stronger models through debate, and reports that debate helps and that training debaters to be more persuasive improves judges' ability to identify the truth.

   Supported1 claim, checked
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   1. Supported · 71%In this study, debate between two LLM experts helped non-expert models and humans pick correct answers, at 76% and 88% accuracy versus 48% and 60% for naive baselines.“We find that debate consistently helps both non-expert models and humans answer questions, achieving 76% and 88% accuracy respectively (naive baselines obtain 48% and 60%).”