EAPO reuses prior RL policy experience adaptively at decision points in LLM rollouts with adapted importance sampling and reports gains over prior RLVR methods on math benchmarks.
Rethinking visual content refinement in low-shot clip adaptation.arXiv preprint arXiv:2407.14117,
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Experience Augmented Policy Optimization for LLM Reasoning
EAPO reuses prior RL policy experience adaptively at decision points in LLM rollouts with adapted importance sampling and reports gains over prior RLVR methods on math benchmarks.