Closed-loop evaluation models performance estimation under biased raters and censored outcomes for deployed agents.
Read the original at arxiv.org→arXiv:2611.07051v1 Announce Type: new Abstract: Once an agent is live, teams want to know whether it is doing its job, not just whether it throws errors. Yet most evaluation is one-off: a benchmark run, a look at...
Original headline: "Closed-Loop Agent Evaluation: Layered Measurement and Self-Calibration"
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- Nov 6, 05:00 UTC arXiv cs.AI lead source Closed-Loop Agent Evaluation: Layered Measurement and Self-Calibration