Jul 2026
BLADE: Boundary-Expanded and Layer-Adaptive Dynamic Exit for Efficient LLM Reasoning
A lightweight framework that dynamically terminates reasoning by estimating whether the generated prefix is sufficient for correct answering and derives robust training labels through repeated answer completions is presented, demonstrating an effective approach to more efficient LLM reasoning.
Keshu Fu, Ke-Qin Peng, Jun Bai et al.
· arXiv.org · 0 citations