Kai-Wei Chang

On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training

A controlled diagnostic framework with two synthetic tasks that disentangle perception from reasoning reveals a consistent perception-reasoning asymmetry: post-training improves reasoning more substantially than perception, though the underlying mechanism differs across training paradigms.