2025
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
EMNLP 2025
Retrieval-Augmented Language Models boost task performance, owing to the retriever that provides external knowledge. Although crucial, the retriever primarily focuses on semantics relevance, which may not always be effective for generation. Thus, utility-based retrieval has emerged as a promising to