Topic: pruning

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Monday, August 3, 2026

research40

Demystifying Entropy-based Selection for Chain-of-Thought Compression in Large Reasoning Models

A study proposes using entropy-based pruning to compress Chain-of-Thought reasoning in large language models without significant accuracy loss, highlighting its potential for making complex models more efficient.

arxiv.org↗

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