ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning
arXiv:2603.22934v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) improves the reliability of large language model applications by grounding generation in retrieved evidence, but it also …
Xiangyu Yin, Yi Qi, Chih-hong Cheng
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