VISOR：迭代搜索加超视距推理的视觉 RAG VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning

精读摘要

视觉检索增强生成（VRAG）让视觉语言模型能检索并推理视觉丰富的文档；复杂查询需要多步推理，智能体式 VRAG 把推理与迭代检索交错进行。但现有方案有两个瓶颈：视觉证据分散在多个页面却被孤立处理，阻碍跨页推理；页内细粒度证据需要精确的视觉动作，一步失误就会级联失败。VISOR 通过迭代搜索与「超视距」推理机制应对这些挑战。 Agentic VRAG interleaves reasoning with iterative retrieval for complex multi-step queries, but faces two bottlenecks: key visual evidence is scattered across pages yet processed in isolation, and fine-grained intra-image evidence requires precise visual actions whose misuse cascades. VISOR addresses these with iterative search and over-horizon reasoning.