Serving Reasoning LLMs Efficiently and Reliably [No Anime]
Serving reasoning LLMs efficiently and reliably: lossless DFloat11 compression, KV-cache quantization, and Bayes@N evaluation and ranking under test-time scaling.
4 items tagged with "LLM Evaluation"
Serving reasoning LLMs efficiently and reliably: lossless DFloat11 compression, KV-cache quantization, and Bayes@N evaluation and ranking under test-time scaling.
Serving reasoning LLMs efficiently and reliably: lossless DFloat11 compression, KV-cache quantization, and Bayes@N evaluation and ranking under test-time scaling.
ICLR 2026 presentation on Don't Pass@k: a Bayesian evaluation framework (Bayes@N) with Dirichlet posteriors, credible intervals, a non-overlap decision rule, categorical rubric scoring, and the Scorio toolkit.
Proposed a Bayesian framework that estimates models' success probabilities with quantified uncertainty, yielding more reliable rankings and enabling categorical evaluation of LLMs.