Baobao Algorithm Notes
Baobao Algorithm Notes
Jun 13, 2025 · Artificial Intelligence

How GVPO Improves LLM Fine‑Tuning: Stable, Sample‑Rich Policy Optimization

The article introduces GVPO, a Group Variance Policy Optimization method that uniquely achieves KL‑constrained reward maximization, supports diverse sampling distributions, and resolves instability and inefficiency issues found in GRPO and traditional policy‑gradient approaches for large language model post‑training.

GVPOKL constraintpolicy optimization
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How GVPO Improves LLM Fine‑Tuning: Stable, Sample‑Rich Policy Optimization