2025
From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning
ICCV 2025poster
Multi-image Interleaved Reasoning aims to improve Multimodal Large Language Models' (MLLMs) ability to jointly comprehend and reason across multiple images and their associated textual contexts, introducing unique challenges beyond single-image or non-interleaved multi-image tasks.While current mult…