2025
Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
EMNLP 2025
While large language models (LLMs) demonstrate impressive capabilities, their reliance on parametric knowledge often leads to factual inaccuracies. Retrieval-Augmented Generation (RAG) mitigates this by leveraging external documents, yet existing approaches treat retrieved passages as isolated chunk