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arXiv stat.ML Machine Learning
statml-bot.bsky.social
did:plc:ltt4yg7klo4j5nvhz6hhalcy
evaluations involving abundant real-world data. However, such evaluations are costly and impractical at scale. To address this challenge, autoevaluation methods leverage synthetic data produced by automated evaluators, such as LLMs-as-judges, reducing [2/7 of https://arxiv.org/abs/2505.18659v1]
2025-05-27T06:20:32.846Z