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RLVR

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papersTODAY 04:00 UTC

Teacher-Guided Curriculum Boosts Data Efficiency in RLVR Training

A new arXiv paper addresses a known failure mode in reinforcement learning with verifiable rewards (RLVR), where training problems that are too hard for a model produce uniformly failed attempts and yield no learning signal. The authors propose a teacher-guided curriculum that sequences training data so the model encounters problems it can actually solve, making the process more data-efficient. The work targets mathematical reasoning in large language models and falls within the cs.CL area.

rlvr/reinforcement-learning/curriculum-learning/reasoning