Hugging Face Trending Papers
What Fixed-Rollout pass@k Evaluations Can Identify
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arXiv Statistics ML
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What Fixed-Rollout pass@k Evaluations Can Identify
arXiv:2609.09245v1 Announce Type: new Abstract: Repeated-sampling evaluations increasingly extrapolate pass@k far beyond the number n of samples collected per problem. We show that, in the pooled/ran...
Hugging Face Trending Papers
Sep 24
Sharp Limits for Honest Uncertainty in Hard-Budget Repeated Evaluation
Repeated evaluation can estimate a benchmark score accurately while still requiring replication to certify narrow uncertainty. We characterize that requirement on a fixed grid of $M$ tasks with $L$ binary paths per task under the hard budget $(M+t)K$, where each path costs at most $K$ responses or episodes.
arXiv AI
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Sharp Limits for Honest Uncertainty in Hard-Budget Repeated Evaluation
arXiv:2609. 29140v1 Announce Type: new Abstract: Repeated evaluation can estimate a benchmark score accurately while still requiring replication to certify narrow uncertainty.
arXiv AI
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Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
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arXiv AI
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Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents
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arXiv Machine Learning
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Certifying Compressed Language Models: An Audit and a Statistical Toolkit
arXiv:2608. 15046v1 Announce Type: new Abstract: A fraction of a point of benchmark accuracy is the usual evidence that a compressed model is equivalent to its original.