Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning

ArXi:2605.19358v1 Announce Type: new Entropy-based deep reasoning has emerged as a promising direction for improving the reasoning capabilities of Large Language Models (LLMs), but existing methods often either increase response length indiscriminately or shorten responses at the cost of accuracy. To better balance this trade-off, we