Exploring LLM biases to manipulate AI search overview
arXiv 2605.00012•ac33e59652f6ff1e8ed3a8728783f5e5021813d0758af90ccfd5c08e476aca69
LLM biasLLM-overviewRAGadversarial retrievalbenchmarkscontext poisoningdenoisingfeature-fadinginformation-securityinstruction-following retrievalproduction-systemsquery reformulationranker feedbackreinforcement learningsearch poisoningsnippet manipulation
Paper metadata
- arXiv ID
- 2605.00012
- 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
- ac33e59652f6ff1e8ed3a8728783f5e5021813d0758af90ccfd5c08e476aca69
- Enrichment time
- 2026-05-04T08:52:15Z
- AI-assisted enrichment
- Yes
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