2026
MoL: Adaptive Mixture-of-Length Reasoning for Efficient Question Answering with Context
ICLR 2026poster
We present Mixture-of-Length (MoL), an approach for Question Answering (QA) with context that aims to improve the balance between reasoning quality and response efficiency. Our method introduces a principled difficulty assessment based on information-theoretic principles and a dual-objective reward…