Jia-Bo Zhan

WeVisDoc is presented, a two-stage data-centric framework for robust end-to-end document parsing that broadens semantic, structural, and appearance coverage through heterogeneous data and structure-preserving degradation synthesis and guides targeted data construction and reallocation of the target-token budget.

OCR-EDR transforms OCR error analysis into actionable repairs, achieving a remarkable 94.78% diagnostic accuracy and a 30.99-point boost in formula performance.

PaDoc achieves a remarkable 94.24 F1 score among end-to-end parsers while being the fastest parser at five concurrency levels, revolutionizing document parsing efficiency.