arXiv:2606.23181: DART — training-free adaptive thinking in hybrid reasoning models
DART is a routing method that decides without any training whether an AI model needs to think deeply or can respond immediately — reducing thinking token consumption by 15–69% while simultaneously improving accuracy by up to +22.5 points on code benchmarks.