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Sara Candussio

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#natural language process... Jul 2026

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

It is demonstrated that patching a subset of a few CoT tokens with their original activations recovers near-perfect full-trace performance, providing causal evidence that task information is not concentrated in a small set of CoT tokens identifiable by heuristics, but rather distributed across the full reasoning chain.

Sara Candussio, Daniel Scalena, Luca Bortolussi et al. · 0 citations

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