Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems
arXiv 2604.04936•fe66b5f175281277bdd96ab2d760e9f49f4f59be1e940422cb62ff2f8896bb98
LLMPDF-to-MarkdownRAGadvertising-datasetsagent-trajectoriesagentic-searchbias-mitigationchunkingde-identified-datadocument-processingevaluation-benchmarkhallucination-detectionknowledge-graphmodel-unlearningmultimodal-retrievalpopularity-biasprivacyrecommendation-systemsretrieval-augmented-generationunlearningweb-ingestion
Paper metadata
- arXiv ID
- 2604.04936
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
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Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- fe66b5f175281277bdd96ab2d760e9f49f4f59be1e940422cb62ff2f8896bb98
- Enrichment time
- 2026-04-08T08:52:22Z
- AI-assisted enrichment
- Yes
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