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Software engineers are increasingly adding semantic search capabilities to applications using a strategy known as Retrieval Augmented Generation (RAG).
Retrieval augmented language model pre-training. In International conference on machine learning . PMLR, 3929–3938
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang. 2020 · 2020
Earlier work this paper cites.
Leveraging passage retrieval with generative models for open domain question answering
Gautier Izacard and Edouard Grave. 2020 · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Earlier work this paper cites.
Self-adaptive Machine Learning Systems: Research Challenges and Opportunities
Maria Casimiro, Paolo Romano, David Garlan, Gabriel Moreno, Eunsuk Kang, and Mark Klein. 2022 · 2022
Earlier work this paper cites.
GPTCache: An Open-Source Semantic Cache for LLM Applications Enabling Faster Answers and Cost Savings. In 3rd Workshop for Natural Language Processing Open Source Software
Fu Bang. 2023 · 2023
Earlier work this paper cites.
Benchmarking Large Language Models in Retrieval-Augmented Generation
Jiawei Chen, Hongyu Lin, Xianpei Han, and Le Sun. 2023b · 2023
Earlier work this paper cites.
Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis
Mingda Chen, Xilun Chen, and Wen-tau Yih. 2023a · 2023
Cited alongside, same era.
Fid-light: Efficient and effective retrieval-augmented text generation. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval . 1437–1447
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, and Hamed Zamani. 2023 · 2023
Cited alongside, same era.
BioASQ-QA: A manually curated corpus for biomedical question answering
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, and Georgios Paliouras. 2023 · 2023
Cited alongside, same era.
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
Simon Lermen, Charlie Rogers-Smith, and Jeffrey Ladish. 2023 · 2023
Cited alongside, same era.
Retrieval-based prompt selection for code-related few-shot learning. In Proceedings of the 45th International Conference on Software Engineering (ICSE’23)
Noor Nashid, Mifta Sintaha, and Ali Mesbah. 2023 · 2023
Later among the works it cites.
GPT-4 Technical Report
OpenAI. 2023 · 2023
Later among the works it cites.
Robust speech recognition via large-scale weak supervision. In International Conference on Machine Learning . PMLR, 28492–28518
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2023 · 2023
Later among the works it cites.
Improving the domain adaptation of retrieval augmented generation (RAG) models for open domain question answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, Tharindu Kaluarachchi, Rajib Rana, and Suranga Nanayakkara. 2023 · 2023
Later among the works it cites.
Large language models for information retrieval: A survey
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, and Ji-Rong Wen. 2023 · 2023
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Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2023b · 2023
Cited alongside, same era.
G-eval: Nlg evaluation using gpt-4 with better human alignment, may 2023
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023a · 2023
Cited alongside, same era.
Threshy: Supporting safe usage of intelligent web services. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 1645–1649
Alex Cummaudo, Scott Barnett, Rajesh Vasa, and John Grundy. 2020a
Cited in the paper.
Beware the evolving ‘intelligent’web service! An integration architecture tactic to guard AI-first components. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 269–280
Alex Cummaudo, Scott Barnett, Rajesh Vasa, John Grundy, and Mohamed Abdelrazek. 2020b
Cited in the paper.
Later among the works it cites.