Amortized Off-Policy Evaluation for LLMs
Accurate evaluation is central to selecting which LLM to deploy, yet testing a candidate on live traffic exposes real users to an unvetted model. Teams therefore evaluate candidates offline, on data produced by already-deployed models.
By Younwoo Choi, Leo Feng, Vincent Liu, Haanvid LeearXiv cs.LG
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Originally published by arXiv cs.LG on Oct 9, 2026.
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