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ECMR: Evidence-Aware Deliberation Control for Multi-Agent LLM Reasoning
Multi-agent Large Language Model (LLM) systems typically commit to a deliberation protocol before inference. A fixed protocol cannot allocate computation differently to resolved and unresolved instances, and it may mistake repeated support for independent confirmation. We study this failure as seman
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