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Zi-Han Huang

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#artificial intelligence Preprint Aug 2026

DocIntent: Answerability-Guided Agentic Restoration for Real-World Document Visual Question Answering

DocIntent, a training-free Answerability-Guided Agentic Restoration framework, which first assesses question answerability, then identifies task-relevant degradations and selectively invokes restoration tools, and which consistently improves the average score and consistency of different open- and closed-source MLLMs.

Zi-Han Huang, Shi-Hang Wu, Jun-Le Liu et al. · 0 citations

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