When Order Matters: First-Speaker Bias and Mitigation through Personality in Sequential Multi-Agent Debate.

arXiv:2609.38964v1 Announce Type: new Abstract: Multi-agent debate (MAD) is often used to improve large language model (LLM) reasoning, but sequential debate is rarely a neutral aggregator of agents' opinions. We show that sequential MAD suffers from a pronoun