OpenDoc-0.1B: A Lightweight Revolution in Document Parsing with 0.1B Parameters
OPENDOC-0.1BDOCUMENT PARSINGLIGHTWEIGHT AIOMNIDOCBENCHTEXT RECOGNITIONFORMULA RECOGNITIONTABLE RECOGNITIONEFFICIENCYCOST REDUCTIONPADDLEOCR
OpenDoc-0.1B, developed by Fudan University's Visual and Learning Lab, challenges the trend of massive AI models by achieving high performance (90.57% on OmniDocBench v1.5) with only 100 million parameters, demonstrating the potential of efficient, specialized models for document parsing tasks.
Generated from mp.weixin.qq.comMar 3, 2026
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