How Far Can Unsupervised RLVR Scale LLM Training?

Ali Nemati11 hours ago23 sec read4 views

Researchers analyze unsupervised reinforcement learning with verifiable rewards (URLVR) for large language model training, revealing its limitations and potential. While intrinsic reward methods show initial promise, they face scaling issues when confidence does not align with correctness, highlighting the need for external reward approaches that could overcome these constraints.

Read the full article at arXiv cs.CL (NLP)

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