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News/Factual Yet One-Sided: Stance Poisoning and Evidence Balancing in Retrieval-Augmented Generation
arxiv
PublishedOctober 27, 2026 at 4:00 AM

Factual Yet One-Sided: Stance Poisoning and Evidence Balancing in Retrieval-Augmented Generation

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arXiv:2610.34294v1 Announce Type: new Abstract: The stance expressed in responses from retrieval-augmented generation systems is significantly influenced by the stance distribution of the retrieved materials. Existing research on knowledge poisoning has primarily targeted factual errors. In contrast

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