MMLongBench-Doc
PulseAugur coverage of MMLongBench-Doc — every cluster mentioning MMLongBench-Doc across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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EviProp method improves long document retrieval with graph diffusion
Researchers have developed EviProp, a novel method for retrieving relevant pages from long, visually rich documents. Unlike existing approaches that score pages independently, EviProp models documents as multimodal Chun…
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New CDS method advances multimodal document question answering
Researchers have developed a new retrieval method called Constrained Dominant Sets (CDS) for multimodal document question answering. This technique addresses limitations in current systems that struggle with long docume…
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MARDoc framework enhances multimodal long document QA with structured memory
Researchers have introduced MARDoc, a novel framework designed to improve question answering for long, multimodal documents. This system utilizes three specialized agents: an Explorer for retrieval, a Refiner for proces…
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LLMs with Vision Capabilities Tested Against OCR for Document QA
A benchmark compared vision-capable large language models against OCR-based pipelines for question-answering on long, image-heavy documents. The evaluation used 30 PDFs from the MMLongBench-Doc dataset, assessing the mo…