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Thinking with Reasoning Skills: Fewer Tokens, More Accuracy (2026.acl-industry)

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Challenge: Reasoning LLMs often spend tokens on long intermediate reasoning traces when solving new problems.
Approach: They propose to store reusable reasoning skills distilled from extensive deliberation and trial-and-error exploration and retrieve these skills at inference time to guide future reasoning.
Outcome: The proposed approach reduces reasoning tokens while improving overall performance on coding and mathematical reasoning tasks.

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