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Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning

SWAP assigns step-level length penalties based on reasoning contribution, cutting chain-of-thought length by 64.3% and boosting accuracy 5.7% over base models.

Xintong Li, Sha Li, Rongmei Lin, Hongye Jin and 9 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5