RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.
Bayesian data analysis
2 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A single f(Q, L_m) gravity model with HRDE produces Starobinsky-like inflation at high curvature and late-time acceleration, with RGUP corrections keeping n_s and r consistent with Planck while shifting the running of the spectral index.
citing papers explorer
-
RefineStat: Efficient Exploration for Probabilistic Program Synthesis
RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.
-
Cosmology of f(Q,L_m) gravity with Holographic Ricci Dark Energy: Early-Time Inflation and Late-Time Acceleration and RGUP Corrected Observables
A single f(Q, L_m) gravity model with HRDE produces Starobinsky-like inflation at high curvature and late-time acceleration, with RGUP corrections keeping n_s and r consistent with Planck while shifting the running of the spectral index.