Skill Entropy: A New Metric for Benchmarking Long-Horizon LLM Reasoning
_akhaliq · x · 2026-08-07
A new paper titled Toward Skill-Native LLMs by Ling Yang, Sanjeev Arora, and others introduces "Skill Entropy," a novel metric designed specifically for benchmarking and training long-horizon reasoning in Large Language Models.
The paper page is available on Hugging Face, accompanied by open-source code and data, aiming to drive the development of skill-native LLMs.
Related event: Researchers Introduce 'Skill Entropy' to Tackle LLM Long-Horizon Reasoning(4 posts)→
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