AINeutralarXiv – CS AI · 7h ago6/10
🧠
Revisiting the Uniform Information Density Hypothesis in LLM Reasoning
Researchers challenge the Uniform Information Density hypothesis in LLM reasoning, finding that high-quality reasoning exhibits locally smooth but globally non-uniform information flow. This counter-intuitive pattern suggests LLMs optimize differently than human communication, with entropy-based metrics effectively predicting reasoning quality across seven benchmarks.