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Retrieval-Augmented Generation (RAG) has recently emerged as a promising solution to alleviate Large Language Model (LLM)'s deficiency in lack of knowledge.
Rouge: A package for automatic evaluation of summaries
C.-Y. Lin · 2004
Earlier work this paper cites.
TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
M. Joshi, E. Choi, D. Weld, and L. Zettlemoyer · 2017
Earlier work this paper cites.
MS MARCO: A human generated machine reading comprehension dataset, 2018
P. Bajaj, D. Campos, N. Craswell, L. Deng, J. Gao, X. Liu, R. Majumder, A. McNamara, B. Mitra, T. Nguyen, M. Rosenberg, X. Song, A. Stoica, S. Tiwary, and T. Wang · 2018
Earlier work this paper cites.
The web as a knowledge-base for answering complex questions, 2018
A. Talmor and J. Berant · 2018
Earlier work this paper cites.
Natural questions: a benchmark for question answering research
T. Kwiatkowski, J. Palomaki, O. Redfield, M. Collins, A. Parikh, C. Alberti, D. Epstein, I. Polosukhin, M. Kelcey, J. Devlin, K. Lee, K. N. Toutanova, L. Jones, M.-W. Chang, A. Dai, J. Uszkoreit, Q. Le, and S. Petrov · 2019
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. tau Yih, T. Rocktäschel, S. Riedel, and D. Kiela · 2021
Earlier work this paper cites.
QA-GNN: Reasoning with language models and knowledge graphs for question answering
M. Yasunaga, H. Ren, A. Bosselut, P. Liang, and J. Leskovec · 2021
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MuRAG: Multimodal retrieval-augmented generator for open question answering over images and text
W. Chen, H. Hu, X. Chen, P. Verga, and W. Cohen · 2022
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J. Achiam, S. Adler, S. Agarwal, L. Ahmad, I. Akkaya, F. L. Aleman, D. Almeida, J. Altenschmidt, S. Altman, S. Anadkat, et al · 2023
Earlier work this paper cites.
The falcon series of open language models
E. Almazrouei, H. Alobeidli, A. Alshamsi, A. Cappelli, R. Cojocaru, M. Debbah, É. Goffinet, D. Hesslow, J. Launay, Q. Malartic, et al · 2023
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Benchmarking large language models in retrieval-augmented generation
J. Chen, H. Lin, X. Han, and L. Sun · 2023
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Symphony: Towards natural language query answering over multi-modal data lakes
Z. Chen, Z. Gu, L. Cao, J. Fan, S. Madden, and N. Tang · 2023
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L. Huang, W. Yu, W. Ma, W. Zhong, Z. Feng, H. Wang, Q. Chen, W. Peng, X. Feng, B. Qin, et al · 2023
Earlier work this paper cites.
Survey of hallucination in natural language generation
Z. Ji, N. Lee, R. Frieske, T. Yu, D. Su, Y. Xu, E. Ishii, Y. J. Bang, A. Madotto, and P. Fung · 2023
Cited alongside, same era.
A. Q. Jiang, A. Sablayrolles, A. Mensch, C. Bamford, D. S. Chaplot, D. d. l. Casas, F. Bressand, G. Lengyel, G. Lample, L. Saulnier, et al · 2023
Cited alongside, same era.
Large language models struggle to learn long-tail knowledge
N. Kandpal, H. Deng, A. Roberts, E. Wallace, and C. Raffel · 2023
Cited alongside, same era.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
P. Liu, W. Yuan, J. Fu, Z. Jiang, H. Hayashi, and G. Neubig · 2023
Cited alongside, same era.
When not to trust language models: Investigating effectiveness of parametric and non-parametric memories
A. Mallen, A. Asai, V. Zhong, R. Das, D. Khashabi, and H. Hajishirzi · 2023
Cited alongside, same era.
Scaling instruction-finetuned language models
H. W. Chung, L. Hou, S. Longpre, B. Zoph, Y. Tay, W. Fedus, Y. Li, X. Wang, M. Dehghani, S. Brahma, et al · 2024
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The journey to a knowledgeable assistant with retrieval-augmented generation (rag)
X. L. Dong · 2024
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Llm-based nlg evaluation: Current status and challenges
M. Gao, X. Hu, J. Ruan, X. Pu, and X. Wan · 2024
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Retrieval-augmented generation for large language models: A survey
Y. Gao, Y. Xiong, X. Gao, K. Jia, J. Pan, Y. Bi, Y. Dai, J. Sun, Q. Guo, M. Wang, and H. Wang · 2024
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Can large language models reason about medical questions?
V. Liévin, C. E. Hother, A. G. Motzfeldt, and O. Winther · 2024
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V. Rawte, S. Chakraborty, A. Pathak, A. Sarkar, S. Tonmoy, A. Chadha, A. P. Sheth, and A. Das · 2023
Cited alongside, same era.
Toolformer: Language models can teach themselves to use tools
T. Schick, J. Dwivedi-Yu, R. Dessi, R. Raileanu, M. Lomeli, L. Zettlemoyer, N. Cancedda, and T. Scialom · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models, 2023
H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi, Y. Babaei, N. Bashlykov, S. Batra, P. Bhargava, S. Bhosale, D. Bikel, L. Blecher, C. C. Ferrer, M. Chen, G. Cucurull, D. Esiobu, J. Fernandes, J. Fu, W. Fu, B. Fuller, C. Gao, V. Goswami, N. Goyal, A. Hartshorn, S. Hosseini, R. Hou, H. Inan, M. Kardas, V. Kerkez, M. Khabsa, I. Kloumann, A. Korenev, P. S. Koura, M.-A. Lachaux, T. Lavril, J. Lee, D. Liskovich, Y. Lu, Y. Mao, X. Martinet, T. Mihaylov, P. Mishra, I. Molybog, Y. Nie, A. Poulton, J. Reizenstein, R. Rungta, K. Saladi, A. Schelten, R. Silva, E. M. Smith, R. Subramanian, X. E. Tan, B. Tang, R. Taylor, A. Williams, J. X. Kuan, P. Xu, Z. Yan, I. Zarov, Y. Zhang, A. Fan, M. Kambadur, S. Narang, A. Rodriguez, R. Stojnic, S. Edunov, and T. Scialom · 2023
Cited alongside, same era.
QALD-10–the 10th challenge on question answering over linked data
R. Usbeck, X. Yan, A. Perevalov, L. Jiang, J. Schulz, A. Kraft, C. Möller, J. Huang, J. Reineke, A.-C. Ngonga Ngomo, et al · 2023
Cited alongside, same era.
FreshLLMs: Refreshing large language models with search engine augmentation, 2023
T. Vu, M. Iyyer, X. Wang, N. Constant, J. Wei, J. Wei, C. Tar, Y.-H. Sung, D. Zhou, Q. Le, and T. Luong · 2023
Cited alongside, same era.
A critical evaluation of evaluations for long-form question answering
F. Xu, Y. Song, M. Iyyer, and E. Choi · 2023
Cited alongside, same era.
Llama 3 model card
AI@Meta · 2024
Cited alongside, same era.
A. Panickssery, S. R. Bowman, and S. Feng · 2024
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R. Pradeep, N. Thakur, S. Sharifymoghaddam, E. Zhang, R. Nguyen, D. Campos, N. Craswell, and J. Lin · 2024
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K. Sun, Y. E. Xu, H. Zha, Y. Liu, and X. L. Dong · 2024
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Are large language models a good replacement of taxonomies?
Y. Sun, H. Xin, K. Sun, Y. E. Xu, X. Yang, X. L. Dong, N. Tang, and L. Chen · 2024
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Verifai: Verified generative AI
N. Tang, C. Yang, J. Fan, L. Cao, Y. Luo, and A. Y. Halevy · 2024
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Multihop-rag: Benchmarking retrieval-augmented generation for multi-hop queries
Y. Tang and Y. Yang · 2024
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Are large language models good statisticians?
Y. Zhu, S. Du, B. Li, Y. Luo, and N. Tang · 2024
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