Enriching Taxonomies Using Large Language Models
arXiv 2602.22213•a1556692f9fbd3f15f15d62cd5c9bb4384d517e1cb20dffea1b553562aa16f86
Chinese webLLMsMLLMsONNXRAG (Retrieval-Augmented Generation)RAGdbSQLite containerad bidding automationadversarial/data-poisoning riskbenchmarksdata privacydata sovereigntyedge AIhealthcare AImisinformationmistrust/hallucination mitigationmultimodal retrievalpatient safetyprovenanceretrievalsocial media automationtext-to-SQL datasetstraining-free retrievaluser simulationvector search
Paper metadata
- arXiv ID
- 2602.22213
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- a1556692f9fbd3f15f15d62cd5c9bb4384d517e1cb20dffea1b553562aa16f86
- Enrichment time
- 2026-03-04T19:50:35Z
- 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.