AIBullisharXiv – CS AI · May 97/10
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Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
Researchers introduce ScaleLogic, a synthetic reasoning framework that systematically studies how reinforcement learning improves LLM reasoning across varying task difficulty and logical complexity. The study reveals that RL training compute follows a power law with reasoning depth, with scaling efficiency improving when models train on more expressively complex logic, suggesting that training content quality matters as much as training volume.
