Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

Giwon Hong, Jeonghwan Kim, Junmo Kang +2

Most existing retrieval-augmented language models (LMs) assume a naive dichotomy within a retrieved document set: query-relevance and irrelevance. Our work investigates a more chal…