MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR
MaPP (Marginalized Posterior-Predictive), a unified framework for data-efficient RLVR that denoises response-level advantage estimation and improves prompt selection using a shared Beta posterior, is proposed.
Yang-Yang Ren, Hao-Dong Zhu, Sheng Xu et al.
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