#machine learning
May 2026
Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road
This paper investigates the cause of reasoning shrinkage under SFT-based post-training and identifies data-centric factors as a key driver of shrinkage in reasoning models and highlights diversity-aware designs as an effective lever for controlling it.
N. Nguyen, P. Shojaee, Phuc Minh Nguyen et al.
· arXiv.org · 1 citation