SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data

Language models are few-shot learners

Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901

Earlier work this paper cites.

Semantic evaluation for text-to-sql with distilled test suites

Original

Ruiqi Zhong, Tao Yu, and Dan Klein. 2020 · 2010

Earlier work this paper cites.

Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task

Original

Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, et al. 2018 · 2018

Earlier work this paper cites.

Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing

Xi Victoria Lin, Richard Socher, and Caiming Xiong. 2020 · 2020

Earlier work this paper cites.

Learning to summarize with human feedback

Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul F Christiano. 2020 · 2020

Earlier work this paper cites.

RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers

Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, and Matthew Richardson. 2020 · 2020

Earlier work this paper cites.

Picard: Parsing incrementally for constrained auto-regressive decoding from language models

Original

Torsten Scholak, Nathan Schucher, and Dzmitry Bahdanau. 2021 · 2021

Earlier work this paper cites.

Towards understanding mixture of experts in deep learning

Original

Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, and Yuanzhi Li. 2022 · 2022

Cited alongside, same era.

Palm: Scaling language modeling with pathways

Original

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022

Cited alongside, same era.

Scaling instruction-finetuned language models

Original

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2022 · 2022

Cited alongside, same era.

Training compute-optimal large language models

Original

Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, et al. 2022 · 2022

Cited alongside, same era.

Self-consistency improves chain of thought reasoning in language models

Original

Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, and Denny Zhou. 2022 · 2022

Later among the works it cites.

Emergent abilities of large language models

Original

Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al. 2022 · 2022

Later among the works it cites.

Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models

Original

Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I Wang, et al. 2022 · 2022

Later among the works it cites.

Mixture-of-experts with expert choice routing

Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M Dai, Quoc V Le, James Laudon, et al. 2022 · 2022

Later among the works it cites.