Data Party THU

Feb 15, 2026 · Artificial Intelligence

Why Retrieval‑Augmented Generation Is Still Fragile: Boosting Generalization and Evidence‑Based Answers

Although modern information access is faster than ever, retrieval‑augmented generation systems remain vulnerable, especially when faced with distribution shifts, making it crucial to improve both retriever generalization across domains and languages and ensure generators produce evidence‑grounded responses or refuse when evidence is lacking.