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DocAtlas is a research system that frames long-document understanding as a mutable-state interaction process, using an external document harness with search, reading, note-taking, and review tools. It achieves state-of-the-art results on MMLongBench-Doc with GPT-5.4 and substantially improves compact VLM agents via end-to-end reinforcement learning.
InSight-doc is an agentic visual perception framework for long-document understanding that adaptively allocates visual resolution during reasoning, reducing hallucination and inference latency while improving accuracy on document VQA benchmarks. The paper releases an 8B model, datasets, and code.