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" " , e v a l u a t i o n _ p a r a m s =[ L L M T e s t C a s e P a r a m s . INPUT , L L M T e s t C a s e P a r a m s . A C T U A L _ O U T P U T ] , model =

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cs.CL 1

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2026 1

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An Empirical Study of Automating Agent Evaluation

cs.CL · 2026-05-12 · unverdicted · novelty 6.0

EvalAgent automates agent evaluation via composable skills, raising first-run success (Eval@1) from 17.5% to 65% and earning 79.5% human expert preference on a new 20-agent benchmark.

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  • An Empirical Study of Automating Agent Evaluation cs.CL · 2026-05-12 · unverdicted · none · ref 26

    EvalAgent automates agent evaluation via composable skills, raising first-run success (Eval@1) from 17.5% to 65% and earning 79.5% human expert preference on a new 20-agent benchmark.