OmniDocBench
OmniDocBench is a comprehensive benchmark for document understanding tasks, designed to evaluate models' parsing and comprehension abilities across diverse document types such as PDFs, scanned documents, tables, and mixed text-image layouts. The benchmark covers multiple subtasks including OCR recognition, layout analysis, and information extraction, providing a standardized performance evaluation framework for document understanding systems and widely used in academic research and model capability comparison.
Timeline (last 90 days)
Youtu-Parsing-Omni has not yet entered the official OmniDocBench leaderboard; its 96.96 score comes from the Tencent model card, while the older Youtu-Parsing's 93.74 score is on the official leaderboard.
In GitHub issue #14, the OmniDocBench team reran Youtu-Parsing on v1.5 and got an overall score of 93.37, while Tencent's internal number is 93.22; the formula CDM differs by about 2 points, and the table TEDS differs by about 2 points in the opposite direction.
All Facts (2)
Youtu-Parsing-Omni has not yet entered the official OmniDocBench leaderboard; its 96.96 score comes from the Tencent model card, while the older Youtu-Parsing's 93.74 score is on the official leaderboard.
50%UnverifiedIn GitHub issue #14, the OmniDocBench team reran Youtu-Parsing on v1.5 and got an overall score of 93.37, while Tencent's internal number is 93.22; the formula CDM differs by about 2 points, and the table TEDS differs by about 2 points in the opposite direction.
50%