DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation
2026-07-29T08:52:09Z•98463dbff2dcedd4368da2e5ff46be83621163176741bed8c17426246d952ac3
OCRRAGacademic researchagentic systemsarXivdataset annotationdocument understandinginformation retrievalmultimodal AIrecommendation systemsregulatory complianceretrieval-augmented generationvision-language models
What happened
This arXiv feed contains research on document understanding, multimodal and agentic retrieval-augmented generation, retrieval robustness, chunking, recommendation, and regulatory-compliance retrieval pipelines. The material is academic and describes methods, benchmarks, and system performance; it does not report exploitable vulnerabilities, malicious activity, or security incidents.
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- 98463dbff2dcedd4368da2e5ff46be83621163176741bed8c17426246d952ac3
- Enrichment time
- 2026-07-29T08:52:09Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.