BACH: A Bayesian Admixture of Contrastive Heads for Multi-Interest Two-Tower Retrieval
arXiv 2607.08107•8818de42c49f77284a60f1d002ced92e3d45ee2ba09f1a6d629c054d3ca0fb59
LLM-multi-agentOCR-post-correctionRAGcode-completiondeduplicationfailure-localizationforensicsgenerative-retrievalhashingincident-responseinformation-retrievallog-analysismachine-learningmicroservicesmodel-backdoorsmodel-mergingmodel-poisoningmulti-interest-modelssupply-chain-securitytwo-tower-retrievers
Paper metadata
- arXiv ID
- 2607.08107
- 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
- 8818de42c49f77284a60f1d002ced92e3d45ee2ba09f1a6d629c054d3ca0fb59
- Enrichment time
- 2026-07-10T08:52:21Z
- AI-assisted enrichment
- Yes
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