#chain-of-thought-reasoning News & Analysis

MuCRASP: Multimodal Chain-of-thought Reasoning aware Structured Pruning

Researchers introduce MuCRASP, a structured pruning framework designed to compress vision-language models while preserving chain-of-thought reasoning capabilities. The method addresses limitations in existing pruning techniques by identifying reasoning-critical components and accounting for differences between visual and textual modalities, achieving superior performance preservation at 30-50% compression rates.