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Ömer Faruk Akgül

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Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning

ReasonMaxxer, a minimal RL-free method that applies contrastive loss only at entropy-gated decision points, matches or exceeds full RL performance while requiring only tens of problems and minutes of single-GPU training, a reduction in training cost of roughly three orders of magnitude.

Ömer Faruk Akgül, Rajgopal Kannan, Willie Neiswanger et al. · 3 citations · ⚡1

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