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Chain of Debates(CoD)
Multiple AI models collaborate and debate to reach conclusions
In 30 seconds
- What
- Multiple models present opposing viewpoints on a question, then synthesize conclusions by weighing trade-offs across positions.
- When to use
- Complex decisions with legitimate competing priorities where no single expert perspective captures the full picture.
- Watch out
- Debate can mask uncertainty as consensus; models may converge on plausible-sounding answers without ground truth validation.
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Video Explanation
Chain of Debates: Overview
Multiple AI models collaborate and debate to reach conclusions
- Multi-model collaboration
- Peer review mechanism
- Reduces individual bias
- Leverages collective intelligence
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References
The papers, specifications, and repositories this pattern is based on.
- Improving Factuality and Reasoning in Language Models through Multiagent Debate - Du et al. (2023)arXiv:2305.14325
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate - Liang et al. (2023)arXiv:2305.19118
- Debating with More Persuasive LLMs Leads to More Truthful Answers - Khan et al. (2024)arXiv:2402.06782
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