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Large language models (LLMs) are increasingly applied for tabular tasks using in-context learning.
Teoria statistica delle classi e calcolo delle probabilita
C. Bonferroni · 1936
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Language models are few-shot learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al · 2020
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Tapas: Weakly supervised table parsing via pre-training
J. Herzig, P. K. Nowak, T. Müller, F. Piccinno, and J. M. Eisenschlos · 2020
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Evaluating large language models trained on code
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, et al · 2021
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Tuta: Tree-based transformers for generally structured table pre-training
Z. Wang, H. Dong, R. Jia, J. Li, Z. Fu, S. Han, and D. Zhang · 2021
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The need for tabular representation learning: An industry perspective
J. Cahoon, A. Savelieva, A. C. Mueller, A. Floratou, C. Curino, H. Patel, J. Henkel, M. Weimer, N. Gustafsson, R. Wydrowski, et al · 2022
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Large language models are few (1)-shot table reasoners
W. Chen · 2022
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Analysis of the attention in tabular language models
A. Koleva, M. Ringsquandl, and V. Tresp · 2022
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Annotating columns with pre-trained language models
Y. Suhara, J. Li, Y. Li, D. Zhang, c. Demiralp, C. Chen, and W.-C. Tan · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou, et al · 2022
Cited alongside, same era.
Large language models are few(1)-shot table reasoners, 2023
W. Chen · 2023
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Can language models automate data wrangling?
G. Jaimovitch-López, C. Ferri, J. Hernández-Orallo, F. Martínez-Plumed, and M. J. Ramírez-Quintana · 2023
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Top ten ways to clean your data, 2023
Microsoft · 2023
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Evaluating and enhancing structural understanding capabilities of large language models on tables via input designs, 2023
Y. Sui, M. Zhou, M. Zhou, S. Han, and D. Zhang · 2023
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Tablegpt: Towards unifying tables, nature language and commands into one gpt
L. Zha, J. Zhou, L. Li, R. Wang, Q. Huang, S. Yang, J. Yuan, C. Su, X. Li, A. Su, et al · 2023
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