Relevance Matters: A Multi-Task and Multi-Stage Large Language Model Approach for E-commerce Query Rewriting
arXiv 2603.02555•793fdeade312b97b6844294fb7fb79837f99d38bbda54039f5cf3d34255b12cf
APAOAlphaFreeDOMEFlashEvaluatorGNN-freeGRPOS2CDRSOLARSVD-Attentionattention-efficiencycross-domain-recommendationcross-sequence-evaluationdiffusion-modelsgenerative-recommendationgenerative-retrievallanguage-representationslarge-language-modelsmodel-editingmulti-task-learningnew-document-integrationpolicy-optimizationprefix-aware-optimizationquery-rewritingrecommender-systemsrelevance-tagging
Paper metadata
- arXiv ID
- 2603.02555
- 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
- 793fdeade312b97b6844294fb7fb79837f99d38bbda54039f5cf3d34255b12cf
- Enrichment time
- 2026-03-04T19:49:57Z
- AI-assisted enrichment
- Yes
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