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Multiagent Debate

Research implementation where multiple language-model agents debate answers to improve reasoning and factuality.

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Overview

Multiagent Debate is the official implementation repository for the ICML 2024 paper “Improving Factuality and Reasoning in Language Models through Multiagent Debate.” It provides research code for experiments in which multiple language-model agents produce and critique answers through debate. The repository is intended for studying multiagent approaches to model reasoning.

Key features

  • Multiagent debate experiments
  • Multiple language-model participants
  • Answer critique and revision
  • Factuality evaluation research code
  • Reasoning evaluation research code
  • ICML 2024 paper implementation

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Last updated 2026-09-16