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This paper introduces uRAG--a framework with a unified retrieval engine that serves multiple downstream retrieval-augmented generation (RAG) systems.
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Retrieve and Refine: Improved Sequence Generation Models For Dialogue. In Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI . Association for Computational Linguistics, Brussels, Belgium, 87–92
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Unsupervised Dense Information Retrieval with Contrastive Learning
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ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Seattle, United States, 3715–3734
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 7871–7880
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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PEGASUS: Pre-Training with Extracted Gap-Sentences for Abstractive Summarization. In Proceedings of the 37th International Conference on Machine Learning (ICML’20) . JMLR.org, Article 1051, 12 pages
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Neural Machine Translation with Monolingual Translation Memory. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online, 7307–7318
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UnitedQA: A Hybrid Approach for Open Domain Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online, 3080–3090
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Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume . Association for Computational Linguistics, Online, 874–880
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Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (, Virtual Event, Canada,) (SIGIR ’21) . Association for Computing Machinery, New York, NY, USA, 2356–2362
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KILT: a Benchmark for Knowledge Intensive Language Tasks. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 2523–2544
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Retrieval-Enhanced Machine Learning. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (, Madrid, Spain,) (SIGIR ’22) . Association for Computing Machinery, New York, NY, USA, 2875–2886
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Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
Garima Agrawal, Tharindu Kumarage, Zeyad Alghami, and Huan Liu. 2023 · 2023
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
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Atlas: Few-shot Learning with Retrieval Augmented Language Models
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Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
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Llama 2: Open Foundation and Fine-Tuned Chat Models
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On the Planning Abilities of Large Language Models - A Critical Investigation
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. In arXiv
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NLP Agent - Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering
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A Survey of Large Language Models
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The ChatGPT Retrieval Plugin
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