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#machine learning Preprint Oct 2026

Input-Blind Controls Produce Substantial Oracle Headroom for Layer Programs in Multiple-Choice Evaluation

Adaptive computation aims to improve language-model inference by tailoring execution to each input. For layer programs, oracle evaluations use known answers to estimate the potential gain from this flexibility, before a practical selector is available. However, a gain from selection does not by itself explain why the c...

Yi-Bei Guo, Rui Liu · 0 citations
#artificial intelligence Preprint Sep 2026

SAGE: A Statistical Acceptance Gate for Self-Evolving Agents

SAGE is a conservative refinement of the standard gate that recovers the baseline exactly at a boundary setting, and employs a one-sided paired test that commits an edit only when its wins are statistically reliable against its losses, and it abstains otherwise.

Yi-Hao Wang, Lin-Han Xia, Rui Liu et al. · 0 citations

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