Disco-RAG: Discourse-Aware Retrieval-Augmented Generation

arXiv:2601.04377v5 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as an important means of enhancing the performance of large language models (LLMs) in knowledge-intensive tasks. However, most existing RAG strategies treat retrieved passages in a flat and...