Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Reinforcement Learning

Researchers developed Cross-modal Identity Mapping (CIM), a reinforcement learning framework that improves image captioning in Large Vision-Language Models by minimizing information loss during visual-to-text conversion. The method achieved 20% improvement in relation reasoning on the COCO-LN500 benchmark using Qwen2.5-VL-7B without requiring additional annotations.