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Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by retrieving relevant memories from an external database.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Approximate nearest neighbors: towards removing the curse of dimensionality
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Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
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The jrc-acquis: A multilingual aligned parallel corpus with 20+ languages
Ralf Steinberger, Bruno Pouliquen, Anna Widiger, Camelia Ignat, Tomaz Erjavec, Dan Tufis, and Dániel Varga. 2006 · 2006
Earlier work this paper cites.
Product quantization for nearest neighbor search
Herve Jegou, Matthijs Douze, and Cordelia Schmid. 2010 · 2010
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Earlier work this paper cites.
Approximate nearest neighbor algorithm based on navigable small world graphs
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Earlier work this paper cites.
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Secure k k nearest neighbors query for high-dimensional vectors in outsourced environments
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Towards coherent and cohesive long-form text generation
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Earlier work this paper cites.
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Jiatao Gu, Yong Wang, Kyunghyun Cho, and Victor O. K. Li. 2018 · 2018
Earlier work this paper cites.
Can neural machine translation be improved with user feedback?
Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, and Stefan Riezler. 2018 · 2018
Earlier work this paper cites.
Improving a neural semantic parser by counterfactual learning from human bandit feedback
Carolin Lawrence and Stefan Riezler. 2018 · 2018
Earlier work this paper cites.
Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs
Yu A Malkov and Dmitry A Yashunin. 2018 · 2018
Earlier work this paper cites.
Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
Earlier work this paper cites.
A call for clarity in reporting BLEU scores
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Earlier work this paper cites.
Way off-policy batch deep reinforcement learning of implicit human preferences in dialog
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, and Rosalind Picard. 2019 · 2019
Earlier work this paper cites.
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Eva Sharma, Chen Li, and Lu Wang. 2019 · 2019
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Introduction to multi-armed bandits
Aleksandrs Slivkins et al. 2019 · 2019
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Towards coherent and engaging spoken dialog response generation using automatic conversation evaluators
Sanghyun Yi, Rahul Goel, Chandra Khatri, Alessandra Cervone, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, and Dilek Hakkani-Tur. 2019 · 2019
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Simple and effective retrieve-edit-rerank text generation
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Dense passage retrieval for open-domain question answering
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Enhancing rag pipelines in haystack: Introducing diversityranker and lostinthemiddleranker
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Walking down the memory maze: Beyond context limit through interactive reading
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Promptagator: Few-shot dense retrieval from 8 examples
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Qianyu Guo, Meng Wang, and Haofen Wang. 2023 · 2023
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RECOMP: improving retrieval-augmented lms with compression and selective augmentation
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