4 items tagged with "Test-Time Scaling"
Ranking reasoning LLMs under repeated sampling, comparing 72 ranking methods across four Olympiad-style math benchmarks and packaging them in Scorio.
Proposed a Bayesian framework that estimates models' success probabilities with quantified uncertainty, yielding more reliable rankings and enabling categorical evaluation of LLMs.
SCIPE Workshop on LLMs - Day 3
A Bayesian framework for evaluating large language models that replaces unstable Pass@k metrics with posterior estimates and credible intervals. The method improves sample efficiency, supports graded outcomes, and enables statistically sound model comparisons.