AI Research
DocAtlas: Long-Document Understanding as Mutable-State Interaction
Treating long-document analysis as an interactive, stateful information-gathering process
Long-document understanding requires models to find and combine evidence across many pages, layouts, tables, figures, and charts. Existing retrieval-augmented systems usually select evidence from a static index before generation, while recent agentic systems add multi-turn tool u...
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ArXiv CS.CL
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2 min
ArXiv CS.CL
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Generated insight by OnAirToday AI
DocAtlas shifts long-document processing from static retrieval to a dynamic, agentic interaction model that manages information like a living workspace. This framework enables even smaller models to outperform significantly larger ones by treating document analysis as an active, stateful problem-solving task.
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