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Using LLMs (Large Language Models) in conjunction with external documents has made RAG (Retrieval-Augmented Generation) an essential technology.
Exploring the limits of transfer learning with a unified text-to-text transformer, 2023
C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu · 1910
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale
A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, E. Grave, M. Ott, L. Zettlemoyer, and V. Stoyanov · 1911
Earlier work this paper cites.
Document ranking with a pretrained sequence-to-sequence model, 2020
R. Nogueira, Z. Jiang, and J. Lin · 2003
Earlier work this paper cites.
Dense passage retrieval for open-domain question answering, 2020
V. Karpukhin, B. Oğuz, S. Min, P. Lewis, L. Wu, S. Edunov, D. Chen, and W. tau Yih · 2004
Earlier work this paper cites.
Colbert: Efficient and effective passage search via contextualized late interaction over bert, 2020
O. Khattab and M. Zaharia · 2004
Earlier work this paper cites.
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
G. V. Cormack, C. L. A. Clarke, and S. Büttcher · 2009
Earlier work this paper cites.
The probabilistic relevance framework: Bm25 and beyond
S. Robertson and H. Zaragoza · 2009
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 neural hype and comparisons against weak baselines, 2019
J. Lin · 2019
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu · 2020
Cited alongside, same era.
Mr. tydi: A multi-lingual benchmark for dense retrieval, 2021
X. Zhang, X. Ma, P. Shi, and J. Lin · 2021
Cited alongside, same era.
Task-aware retrieval with instructions, 2022
A. Asai, T. Schick, P. Lewis, X. Chen, G. Izacard, S. Riedel, H. Hajishirzi, and W. tau Yih · 2022
Cited alongside, same era.
“rank bm25”, 2022
D. Brown, S. Jain, V. Novotný, and nlp4whp · 2022
Cited alongside, same era.
Precise zero-shot dense retrieval without relevance labels, 2022
L. Gao, X. Ma, J. Lin, and J. Callan · 2022
Cited alongside, same era.
An analysis of fusion functions for hybrid retrieval
S. Bruch, S. Gai, and A. Ingber · 2023
Later among the works it cites.
Ragas: Automated evaluation of retrieval augmented generation, 2023
S. Es, J. James, L. Espinosa-Anke, and S. Schockaert · 2023
Later among the works it cites.
Improving passage retrieval with zero-shot question generation, 2023
D. S. Sachan, M. Lewis, M. Joshi, A. Aghajanyan, W. tau Yih, J. Pineau, and L. Zettlemoyer · 2023
Later among the works it cites.
Is chatgpt good at search? investigating large language models as re-ranking agents, 2023
W. Sun, L. Yan, X. Ma, S. Wang, P. Ren, Z. Chen, D. Yin, and Z. Ren · 2023
Later among the works it cites.
Semscore: Automated evaluation of instruction-tuned llms based on semantic textual similarity, 2024
A. Aynetdinov and A. Akbik · 2024
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Visconde: Multi-document qa with gpt-3 and neural reranking, 2022
J. Pereira, R. Fidalgo, R. Lotufo, and R. Nogueira · 2022
Cited alongside, same era.
Colbertv2: Effective and efficient retrieval via lightweight late interaction, 2022
K. Santhanam, O. Khattab, J. Saad-Falcon, C. Potts, and M. Zaharia · 2022
Cited alongside, same era.
Hugging face, 2023
J. Briggs · 2023
Cited alongside, same era.
Retrieval-augmented generation for large language models: A survey, 2024a
Y. Gao, Y. Xiong, X. Gao, K. Jia, J. Pan, Y. Bi, Y. Dai, J. Sun, M. Wang, and H. Wang
Cited in the paper.
Modular rag: Transforming rag systems into lego-like reconfigurable frameworks, 2024b
Y. Gao, Y. Xiong, M. Wang, and H. Wang
Cited in the paper.
Lost in the middle: How language models use long contexts, 2023a
N. F. Liu, K. Lin, J. Hewitt, A. Paranjape, M. Bevilacqua, F. Petroni, and P. Liang
Cited in the paper.
G-eval: Nlg evaluation using gpt-4 with better human alignment, 2023b
Y. Liu, D. Iter, Y. Xu, S. Wang, R. Xu, and C. Zhu
Cited in the paper.
Closest in time.
Aragog: Advanced rag output grading, 2024
M. Eibich, S. Nagpal, and A. Fred-Ojala · 2024
Closest in time.
Autorag-hp: Automatic online hyper-parameter tuning for retrieval-augmented generation, 2024
J. Fu, X. Qin, F. Yang, L. Wang, J. Zhang, Q. Lin, Y. Chen, D. Zhang, S. Rajmohan, and Q. Zhang · 2024
Closest in time.
Gemma: Open models based on gemini research and technology, 2024
G. Team and T. et al · 2024
Closest in time.