Inducing reward-free judging rubrics that reduce over-crediting in agent evaluation
Read the original at arxiv.org→arXiv:2608.13564v1 Announce Type: new Abstract: Evaluating language-model agents at scale increasingly relies on a second language model as an automatic judge, because the gold signal, an executable environment...
Original headline: "Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation"
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- Aug 17, 04:00 UTC arXiv cs.AI lead source Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation