Who Convinced Whom? Tracing How LLMs Change Their Minds in Multi-Agent Systems
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 influences individual decisions and collective outcomes through behavioral and internal interventions. We intr...
Arnesh Batra, Aniket Khandelwal, Jashn Khemani et al.
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