Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?

NeurIPSSpotlight2025

Authors
Hyeong Kyu Choi, Jerry Zhu, Sharon Li
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Multi-Agent Debate (MAD) has emerged as a promising paradigm for improving the performance of large language models through collaborative reasoning…

Opening excerpt from the authors’ abstract. source

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Topics

large language model language model reasoning agent

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