2 papers
cs.CL2024
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models
Seong-Il Park, Jay-Yoon Lee
Retrieval Augmented Language Models (RALMs) have gained significant attention for their ability to generate accurate answer and improve efficiency. However, RALMs are inherently vu…
cs.CL2024
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
Seong-Il Park, Seung-Woo Choi, Na-Hyun Kim +1
Retrieval-Augmented Language Models (RALMs) have significantly improved performance in open-domain question answering (QA) by leveraging external knowledge. However, RALMs still st…