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JuryFlow: Disagreement-Guided Human-in-the-Loop Multi-Agent Evaluation

Yang, Mufeng et al.
arXiv (All) · Papers
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computation-and-languageh-5-2human-computer-interactioni-2-6i-2-7
Large language models (LLMs) are increasingly deployed as automated judges for AI-generated content, yet a single judge is unreliable and even a panel of judges leaves a hard residue: when judges disagree, majority voting discards the conflict instead of resolving it. We present JuryFlow, a disagree
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