DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models

Ruofan Zhang, Bin Xia, Zhen Cheng +4

Adaptive reasoning is essential for aligning the computational effort of large language models (LLMs) with the intrinsic difficulty of problems. Current chain-of-thought methods bo…