RVL-CDIP
PulseAugur coverage of RVL-CDIP — every cluster mentioning RVL-CDIP across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Audit reveals major data quality flaws in standard RVL-CDIP benchmark
A new audit of the RVL-CDIP dataset, a standard benchmark for document classification, has revealed significant data quality issues. Researchers found that approximately 10.5% of documents have incorrect labels, and a s…
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Document image classification explanations improved by domain-aware segmentation
A new study published on arXiv investigates the impact of segmentation choices on the reliability of LIME explanations for document image classification. Researchers found that standard superpixel-based segmentations, c…
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RVL-CDIP dataset revised to fix errors and test-train overlap
A new paper revises the RVL-CDIP dataset, a popular benchmark for document classifiers, by identifying and correcting label errors and test-train overlap. The analysis revealed approximately 12% label errors and 35% tes…
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Research compares multimodal models for document classification
A new research paper analyzes multimodal approaches for classifying visually-rich documents, comparing transformer and LLM-based architectures. The study evaluated LayoutLMv3, Donut, Qwen3-VL-32B-Instruct, and Qwen3-32B…