Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking
arXiv 2605.26385•9f99d64ec35737fb2e238e661969185360f12e02ea5e6ab6d4e5de885e2557f1
arxivdense-retrievalin-context-retrievalinformation-retrievalknowledge-graphlarge-language-modelsmultimodal-representationmusic-recommendationpolicy-gradientposition-biasrecommender-systemsreinforcement-learningreproducibilityretrieval-augmented-generationtraffic-allocationworkshop
Paper metadata
- arXiv ID
- 2605.26385
- 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
- 9f99d64ec35737fb2e238e661969185360f12e02ea5e6ab6d4e5de885e2557f1
- Enrichment time
- 2026-05-27T08:52:24Z
- AI-assisted enrichment
- Yes
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