DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation
Taeho Hwang, Soyeong Jeong, Sukmin Cho, SeungYoon Han, Jong Park
Abstract
Recent advancements in Large Language Models (LLMs) have significantly improved their performance across various Natural Language Processing (NLP) tasks.However, LLMs still struggle with generating non-factual responses due to limitations in their parametric memory.Retrieval-Augmented Generation (RAG) systems address this issue by incorporating external knowledge with a retrieval module.Despite their successes, however, current RAG systems face challenges with retrieval failures and the limited ability of LLMs to filter out irrelevant information.Therefore, in this work, we propose DSLR (Document Refinement with Sentence-Level Re-ranking and Reconstruction), an unsupervised framework that decomposes retrieved documents into sentences, filters out irrelevant sentences, and reconstructs them again into coherent passages.We experimentally validate DSLR on multiple open-domain QA datasets and the results demonstrate that DSLR significantly enhances the RAG performance over conventional fixed-size passage.Furthermore, our DSLR enhances performance in specific, yet realistic scenarios without the need for additional training, providing an effective and efficient solution for refining retrieved documents in RAG systems.- Anthology ID:
- 2024.knowledgenlp-1.6
- Volume:
- Proceedings of the 3rd Workshop on Knowledge Augmented Methods for NLP
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Wenhao Yu, Weijia Shi, Michihiro Yasunaga, Meng Jiang, Chenguang Zhu, Hannaneh Hajishirzi, Luke Zettlemoyer, Zhihan Zhang
- Venues:
- KnowledgeNLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 73–92
- Language:
- URL:
- https://aclanthology.org/2024.knowledgenlp-1.6
- DOI:
- 10.18653/v1/2024.knowledgenlp-1.6
- Cite (ACL):
- Taeho Hwang, Soyeong Jeong, Sukmin Cho, SeungYoon Han, and Jong Park. 2024. DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation. In Proceedings of the 3rd Workshop on Knowledge Augmented Methods for NLP, pages 73–92, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation (Hwang et al., KnowledgeNLP-WS 2024)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2024.knowledgenlp-1.6.pdf