Optical Character Recognition
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Rethinking Genomic Modeling Through Optical Character Recognition
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Dr. DocBench: A Comprehensive Benchmark for Expert-Level and Difficult Document Parsing
arXiv:2606.01393v1 Announce Type: new Abstract: Document parsing and recognition are fundamental capabilities for vision-language models (VLMs) and document processing systems. However, existing Optical Character Recognition (OCR) and document parsing benchmarks are increasingly limited in coverage and difficulty: many focus on common document genres or uniformly sampled pages where modern parsers already perform strongly, while offering limited annotation for expert-domain structures such...
Interfaze: The Future of AI is built on Task-Specific Small Models
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ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation
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