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PADMÉ: Preference Alignment Data Synthesis for Meta-Evaluation of LM Agent Evaluators

Chang, Cheng et al.
arXiv (All) · Papers
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computation-and-language
Language models are frequently employed to evaluate other language models. An LM evaluator scoring agentic behaviors across multiple criteria is valuable, provided that its decisions align with human judgment. We call the problem of evaluating this alignment Meta-Evaluation. Tackling it directly is
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