Jinhan Mu

FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision–Language Models

Efficiently enhancing the reasoning capabilities of Vision-Language Models (VLMs) by merging them with Large Reasoning Models (LRMs) has emerged as a promising direction. However, existing methods typically operate at a coarse-grained layer level, which often leads to a trade-off between injecting r…