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Retrieval-Augmented Generation (RAG) is a technique that enhances the capabilities of large language models (LLMs) by incorporating external knowledge sources.
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Open-retrieval conversational question answering. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 539–548
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Few-shot Learning with Retrieval Augmented Language Models
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MTEB: Massive Text Embedding Benchmark
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Chain-of-thought prompting elicits reasoning in large language models
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Retrieval-based Language Models and Applications. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, ACL 2023, Toronto, Canada, July 9-14, 2023 . 41–46
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Gen-ir@ sigir 2023: The first workshop on generative information retrieval. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval . 3460–3463
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Azure AI Search: Outperforming vector search with hybrid retrieval and ranking capabilities
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Sparks of artificial general intelligence: Early experiments with gpt-4
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!. In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023 . 10572–10601
Yubo Ma, Yixin Cao, Yong Hong, and Aixin Sun. 2023a · 2023
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How to Evaluate LLMs for RAG?
Darren Oberst. 2023 · 2023
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Measuring Attribution in Natural Language Generation Models
Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Lora Aroyo, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, and David Reitter. 2023 · 2023
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Ares: An automated evaluation framework for retrieval-augmented generation systems
Jon Saad-Falcon, Omar Khattab, Christopher Potts, and Matei Zaharia. 2023 · 2023
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In chatgpt we trust? measuring and characterizing the reliability of chatgpt
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Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Cited alongside, same era.
Benchmarking large language models in retrieval-augmented generation
Jiawei Chen, Hongyu Lin, Xianpei Han, and Le Sun. 2023b · 2023
Cited alongside, same era.
Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, and Rui Yan. 2023 · 2023
Cited alongside, same era.
Promptagator: Few-shot Dense Retrieval From 8 Examples. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023
Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, and Ming-Wei Chang. 2023 · 2023
Cited alongside, same era.
Ragas: Automated evaluation of retrieval augmented generation
Shahul Es, Jithin James, Luis Espinosa-Anke, and Steven Schockaert. 2023 · 2023
Cited alongside, same era.
Precise Zero-Shot Dense Retrieval without Relevance Labels. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023 . 1762–1777
Luyu Gao, Xueguang Ma, Jimmy Lin, and Jamie Callan. 2023a · 2023
Cited alongside, same era.
Enabling Large Language Models to Generate Text with Citations. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 . 6465–6488
Tianyu Gao, Howard Yen, Jiatong Yu, and Danqi Chen. 2023c · 2023
Cited alongside, same era.
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. 2023b · 2023
Cited alongside, same era.
Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang. 2023 · 2023
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REPLUG: Retrieval-Augmented Black-Box Language Models
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, and Wen-tau Yih. 2023 · 2023
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Query2doc: Query Expansion with Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 . 9414–9423
Liang Wang, Nan Yang, and Furu Wei. 2023 · 2023
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MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
Yilin Wen, Zifeng Wang, and Jimeng Sun. 2023 · 2023
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RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation
Fangyuan Xu, Weijia Shi, and Eunsol Choi. 2023 · 2023
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PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 . Association for Computational Linguistics, 5364–5375
Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, and Jing Xiao. 2023 · 2023
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Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, and Dong Yu. 2023 · 2023
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Retrieve Anything To Augment Large Language Models
Peitian Zhang, Shitao Xiao, Zheng Liu, Zhicheng Dou, and Jian-Yun Nie. 2023 · 2023
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Chatgpt hallucinates when attributing answers. In Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region . 46–51
Guido Zuccon, Bevan Koopman, and Razia Shaik. 2023 · 2023
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Verifiable Generation with Subsentence-Level Fine-Grained Citations
Shuyang Cao and Lu Wang. 2024 · 2024
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The RAG Triad
Joe Ferrara, Ethan-Tonic, and Oguzhan Mete Ozturk. 2024 · 2024
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Chain-of-Thought Improves Text Generation with Citations in Large Language Models. In Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada . 18345–18353
Bin Ji, Huijun Liu, Mingzhe Du, and See-Kiong Ng. 2024 · 2024
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Citation-Enhanced Generation for LLM-based Chatbots
Weitao Li, Junkai Li, Weizhi Ma, and Yang Liu. 2024 · 2024
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An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models
Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, and Zhao Cao. 2024 · 2024
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ALiiCE: Evaluating Positional Fine-grained Citation Generation
Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, and Xueqi Cheng. 2024 · 2024
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Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, and Evangelos Kanoulas. 2024 · 2024
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