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Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) by integrating external knowledge, making them adaptable and cost-effective for various applications.
A statistical interpretation of term specificity and its application in retrieval
Jones, K. S. 1972 · 1972
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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Nguyen, T.; Rosenberg, M.; Song, X.; Gao, J.; Tiwary, S.; Majumder, R.; and Deng, L. 2016 · 2016
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HotFlip: White-Box Adversarial Examples for Text Classification
Ebrahimi, J.; Rao, A.; Lowd, D.; and Dou, D. 2018 · 2018
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HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Yang, Z.; Qi, P.; Zhang, S.; Bengio, Y.; Cohen, W.; Salakhutdinov, R.; and Manning, C. D. 2018 · 2018
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Natural questions: a benchmark for question answering research
Kwiatkowski, T.; Palomaki, J.; Redfield, O.; Collins, M.; Parikh, A.; Alberti, C.; Epstein, D.; Polosukhin, I.; Devlin, J.; Lee, K.; et al. 2019 · 2019
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Language Models as Knowledge Bases?
Petroni, F.; Rocktäschel, T.; Riedel, S.; Lewis, P.; Bakhtin, A.; Wu, Y.; and Miller, A. 2019 · 2019
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REALM: retrieval-augmented language model pre-training
Guu, K.; Lee, K.; Tung, Z.; Pasupat, P.; and Chang, M.-W. 2020 · 2020
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Dense Passage Retrieval for Open-Domain Question Answering
Karpukhin, V.; Oguz, B.; Min, S.; Lewis, P.; Wu, L.; Edunov, S.; Chen, D.; and Yih, W.-t. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P.; Perez, E.; Piktus, A.; Petroni, F.; Karpukhin, V.; Goyal, N.; Küttler, H.; Lewis, M.; Yih, W.-t.; Rocktäschel, T.; et al. 2020 · 2020
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How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Roberts, A.; Raffel, C.; and Shazeer, N. 2020 · 2020
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Xiong, L.; Xiong, C.; Li, Y.; Tang, K.-F.; Liu, J.; Bennett, P. N.; Ahmed, J.; and Overwijk, A. 2020 · 2020
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Towards unsupervised dense information retrieval with contrastive learning
Izacard, G.; Caron, M.; Hosseini, L.; Riedel, S.; Bojanowski, P.; Joulin, A.; and Grave, E. 2021 · 2021
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LangChain
Chase, H. 2022 · 2022
Cited alongside, same era.
Ignore Previous Prompt: Attack Techniques For Language Models
Perez, F.; and Ribeiro, I. 2022 · 2022
Cited alongside, same era.
DocPrompting: Generating Code by Retrieving the Docs
Zhou, S.; Alon, U.; Xu, F. F.; Jiang, Z.; and Neubig, G. 2022 · 2022
Cited alongside, same era.
Self-rag: Learning to retrieve, generate, and critique through self-reflection
Asai, A.; Wu, Z.; Wang, Y.; Sil, A.; and Hajishirzi, H. 2023 · 2023
Cited alongside, same era.
Chatlaw: Open-source legal large language model with integrated external knowledge bases
Cui, J.; Li, Z.; Yan, Y.; Chen, B.; and Yuan, L. 2023 · 2023
Cited alongside, same era.
Peng, B.; Galley, M.; He, P.; Cheng, H.; Xie, Y.; Hu, Y.; Huang, Q.; Liden, L.; Yu, Z.; Chen, W.; et al. 2023 · 2023
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Kerckhoffs’ principle
Petitcolas, F. A. 2023 · 2023
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Ignore this title and HackAPrompt: Exposing systemic vulnerabilities of LLMs through a global prompt hacking competition
Schulhoff, S.; Pinto, J.; Khan, A.; Bouchard, L.-F.; Si, C.; Anati, S.; Tagliabue, V.; Kost, A.; Carnahan, C.; and Boyd-Graber, J. 2023 · 2023
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Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Trivedi, H.; Balasubramanian, N.; Khot, T.; and Sabharwal, A. 2023 · 2023
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Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Wang, Y.; Li, P.; Sun, M.; and Liu, Y. 2023 · 2023
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Greshake, K.; Abdelnabi, S.; Mishra, S.; Endres, C.; Holz, T.; and Fritz, M. 2023 · 2023
Cited alongside, same era.
Baseline defenses for adversarial attacks against aligned language models
Jain, N.; Schwarzschild, A.; Wen, Y.; Somepalli, G.; Kirchenbauer, J.; Chiang, P.-y.; Goldblum, M.; Saha, A.; Geiping, J.; and Goldstein, T. 2023 · 2023
Cited alongside, same era.
Survey of hallucination in natural language generation
Ji, Z.; Lee, N.; Frieske, R.; Yu, T.; Su, D.; Xu, Y.; Ishii, E.; Bang, Y. J.; Madotto, A.; and Fung, P. 2023 · 2023
Cited alongside, same era.
LlamaIndex
Liu, J. 2023 · 2023
Cited alongside, same era.
Recall: A benchmark for llms robustness against external counterfactual knowledge
Liu, Y.; Huang, L.; Li, S.; Chen, S.; Zhou, H.; Meng, F.; Zhou, J.; and Sun, X. 2023 · 2023
Cited alongside, same era.
GPT data retrieval
OpenAI. 2023 · 2023
Cited alongside, same era.
Fine-tuning or retrieval? comparing knowledge injection in llms
Ovadia, O.; Brief, M.; Mishaeli, M.; and Elisha, O. 2023 · 2023
Cited alongside, same era.
Poisoning Retrieval Corpora by Injecting Adversarial Passages
Zhong, Z.; Huang, Z.; Wettig, A.; and Chen, D. 2023 · 2023
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Dubey, A.; Jauhri, A.; Pandey, A.; Kadian, A.; Al-Dahle, A.; Letman, A.; Mathur, A.; Schelten, A.; Yang, A.; Fan, A.; et al. 2024 · 2024
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ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
GLM, T.; Zeng, A.; Xu, B.; Wang, B.; Zhang, C.; Yin, D.; Rojas, D.; Feng, G.; Zhao, H.; Lai, H.; et al. 2024 · 2024
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OpenAI; Achiam, J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F. L.; Almeida, D.; Altenschmidt, J.; Altman, S.; Anadkat, S.; et al. 2024 · 2024
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State of AI Report 2024
Retool. 2022 · 2024
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Poisonedrag: Knowledge poisoning attacks to retrieval-augmented generation of large language models
Zou, W.; Geng, R.; Wang, B.; and Jia, J. 2024 · 2024
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