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Jun-Le Liu

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Preprint Aug 2026

JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis

The scholarly exegesis of ancient Chinese characters demands integrating visual observation, linguistic analysis, and historical context. However, existing computational approaches focus narrowly on subtasks such as character recognition and retrieval, lacking the structured datasets and benchmarks required for compreh...

Ran Li, Huiguo He, Jiahuan Cao 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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