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Author

Shi-Hang Wu

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#natural language process... Preprint Oct 2026

LongHisDoc: A Comprehensive Benchmark for Chinese Long Historical Document Understanding

Chinese historical documents are invaluable cultural treasures, but their complexity poses significant comprehension challenges for non-specialists. Despite the success of Large Language Models (LLMs) and Large Vision-Language Models (LVLMs) in modern document tasks, their capabilities in Long (full-book) Historical Do...

Zeyu Shan, Yong-Xin Shi, Shi-Hang Wu et al. · 0 citations
#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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