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News/TD-Grokking: Learning from Zero-Reward Problems by Training-Time Decomposition
arxiv
PublishedJune 10, 2026 at 4:00 AM

TD-Grokking: Learning from Zero-Reward Problems by Training-Time Decomposition

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arXiv:2606.09883v1 Announce Type: cross Abstract: Large language models (LLMs) have made remarkable progress in reasoning tasks, largely driven by post-training paradigms, especially reinforcement learning with verifiable rewards (RLVR). However, a critical bottleneck persists: RLVR fails on highly

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