Certifiably Robust RAG against Retrieval Corruption
arXiv:2405.15556v2 Announce Type: replace-cross
Abstract: Retrieval-augmented generation (RAG) is susceptible to retrieval corruption attacks, where malicious passages injected into retrieval results can lead to inaccurate model responses. We propose …