InSight-doc: Agentic Visual Perception for Long-Document Understanding

Long-document understanding often requires reasoning over many visually rich pages, making inference costly and prone to context rot. In this work, we propose InSight-doc, an agentic visual perception framework that treats visual resolution as an adaptive reasoning-time resource. InSight-doc starts from low resolution and selectively zooms into high-resolution regions for finer evidence, without relying on any external retriever. To train such an agent, we construct an active-perception corpus o

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ethics.ai (10 August 2026), “InSight-doc: Agentic Visual Perception for Long-Document Understanding,” evidence record 18754, https://ethics.ai/record/18754 (originally published by HuggingFace Daily Papers).

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