Who Convinced Whom? Tracing How LLMs Change Their Minds in Multi-Agent Systems.

arXiv:2610.35930v1 Announce Type: cross Abstract: Multi-agent debate (MAD) aims to improve language-model decisions through the exchange of arguments, yet agreement after debate need not reflect independent corroboration. We investigate how peer communication