AI RESEARCH
Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA
arXiv CS.CL
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ArXi:2605.14928v1 Announce Type: new Recent advances in vision-language models (VLMs) have achieved impressive results on standard image-text tasks, yet their potential for visual procedure question answering (VP-QA) remains largely unexplored. VP-QA presents unique challenges where users query next-step actions by uploading images for intermediate states of complex procedures. To systematically evaluate VLMs on this practical task, we propose ProcedureVQA, a novel multimodal benchmark specifically designed for visual procedural reasoning.