Research · Reinforcement learning
Reasoning models can be trained to stop when they know the answer
Think Less, Locally: Local Preference Learning for Reasoning Compression
A new method teaches large language models when to conclude reasoning rather than continue, cutting output length by up to 45% on math and 36% on code without losing accuracy.
AIME24: 54.17% Accuracy (as reported)
Xi’an Jiaotong University, Tencent Inc.