A provenance-aware modular pipeline converts handwritten tabular images to knowledge graphs through three inspectable stages with full traceability to visual and textual origins.
Image-Based Table Recognition: Data, Model, and Eval- uation
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RAG-based LLM extraction reaches 89% accuracy on clinical trial protocols versus 62.6% for standalone models and cuts simulated workflow time by 40%.
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From Historical Tabular Image to Knowledge Graphs: A Provenance-Aware Modular Pipeline
A provenance-aware modular pipeline converts handwritten tabular images to knowledge graphs through three inspectable stages with full traceability to visual and textual origins.
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AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows
RAG-based LLM extraction reaches 89% accuracy on clinical trial protocols versus 62.6% for standalone models and cuts simulated workflow time by 40%.