Enhancing Language Model Reasoning with Structured Multi-Level Modeling
arXiv:2611.00616v1 Announce Type: new Abstract: Inference-time scaling enhances a model's reasoning by extending its chain-of-thought (CoT). However, existing approaches typically rely on a single policy trained with outcome-reward reinforcement learning (RL), which often suffers from long-horizon p
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen