Select to Think: Unlocking SLM Potential with Local Sufficiency
arXiv:2604.26940v1 Announce Type: new
Abstract: Small language models (SLMs) offer computational efficiency for scalable deployment, yet they often fall short of the reasoning power exhibited by their larger counterparts (LLMs). To mitigate this gap, …