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Speculative Evaluation of Stochastic LLMs

arXiv:2609.28560v1 Announce Type: new Abstract: Evaluating a stochastic large language model is costly: benchmark scores estimate expected performance from randomized rollouts, yet uniform repetition ignores sharp differences in task-level rollout variance. We ask how to minimize the variance of a…

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  1. 2026-09-25 04:00 · arXiv stat.ML
    Speculative Evaluation of Stochastic LLMs

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