Depth-Entropy Guided Sampling for Training-Free LLM Reasoning
英文标题：Depth-Entropy Guided Sampling for Training-Free LLM Reasoning
arXiv:2607.09693v1 Announce Type: new Abstract: Reinforcement learning (RL) has become the dominant paradigm for improving the reasoning capabilities of large language models, but it requires expensive training, curated data, and reward signals. Recent work shows that sampling from sharpened base-m
打开原文相关 2.4 · 机会 0
2.6 KB
2.1 KB
612 B
380 B
9.1 KB
32.7 KB
22.8 KB
24.2 KB
34.7 KB
中文
arXiv:2607.09693v1 Announce Type: new Abstract: Reinforcement learning (RL) has become the dominant paradigm for improving the reasoning capabilities of large language models, but it requires expensive training, curated data, and reward signals. Recent work shows that sampling from sharpened base-m
中文全文翻译正在补齐，可先查看下方英文原文。
English / 原文
BibTeX formatted citation
×