Does Reasoning Make Search More Fair? Comparing Fairness in Reasoning and Non-Reasoning Rerankers
arXiv 2603.10332•231d1b204f19b7cd9207f247ce26ea61116c0d6c75fd8ce615ecf7798599b405
agent-based-systemsbenchmarksbias-mitigationcausal-attentiondifferentiable-indexingfairnessinformation-retrievallarge-language-modelslinked-datamemory-systemsprivacypseudo-relevance-feedbackrecommender-systemsreproducibilityretrieval-augmented-generation
Paper metadata
- arXiv ID
- 2603.10332
- 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
- 231d1b204f19b7cd9207f247ce26ea61116c0d6c75fd8ce615ecf7798599b405
- Enrichment time
- 2026-03-12T08:52:20Z
- AI-assisted enrichment
- Yes
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