RLVR$^{2}$: Reinforcement Learning with Verifiable Rubric-based Ranking
Reinforcement Learning with Verifiable Rewards (RLVR) is expanding from tasks with well-defined correctness signals, such as mathematics and code, toward multifaceted quality requirements specified by multi-dimensional rubrics. Since policy optimization consumes one scalar per rollout, rubric-based pipelines must map m...
Hao Li, Zheng-Kun Zhang, Gang-Qiang Hu et al.
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