quantile-advantage-entropy-safe-reasoning

【效率与协作】Stabilize LLM reasoning training by replacing mean-based advantage baselines with K-quantile baselines, preventing both entropy collapse and explosion while improving performance on mathematical benchmarks through response-level gating and asymmetric sample weighting.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准