AIBullisharXiv – CS AI · 7h ago7/10
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The Implicit Curriculum: Learning Dynamics in RL with Verifiable Rewards
Researchers develop a theoretical framework explaining how reinforcement learning with verifiable rewards (RLVR) enables long-horizon reasoning in large language models through an implicit curriculum effect. The analysis reveals that mixed-difficulty training naturally progresses from easy to hard problems without explicit scheduling, with learning dynamics determined by the smoothness of the difficulty spectrum.