Candidate supply and answer selection shape the value of LLM judging in multi-agent systems
This work conceptualizes multi-agent reasoning as an evolutionary pipeline of candidate generation, peer communication and terminal selection, wherein consensus without quality control can exhibit patterns of memetic drift.
Jia-Hao Ji, Si-Jie Li, Jia-Bei Cheng et al.
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