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arXiv cs.AI·

Augmenting Human Evaluation with LLM Judges: How Many Human Reviews Do You Need?

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75
Hype
15
In three linesarXiv paper proposing a formal framework for combining LLM and human evaluations. Uses a doubly robust estimator (missing data approach) to determine optimal sample sizes of human ratings needed for benchmark validation, shifting LLMs from substitutive to auxiliary role.
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Summary generated by Claude — human-verified