TL;DR of the paper, generated automatically.

LoCo teaches reasoning models when to stop, cutting length while keeping accuracy.

• Method: freezes overthinking points, regenerates shorter endings, trains with DPO.
• Results: 41.7–45.4% shorter on math, 23.4–36.3% on code.
• Transfer: math-only training, still carries over to code.