150 citations · 232 across the 6 of their papers we have counts for
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cs.CL2023★ 10 cited
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
Zhihong Shao, Yeyun Gong, Yelong Shen +3
Large language models can perform various reasoning tasks by using chain-of-thought prompting, which guides them to find answers through step-by-step demonstrations. However, the q…
cs.CL2022★ 1 cited
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
Zhengbao Jiang, Yi Mao, Pengcheng He +2
The information in tables can be an important complement to text, making table-based question answering (QA) systems of great value. The intrinsic complexity of handling tables oft…
cs.CL2022★ 65 cited
CodeT: Code Generation with Generated Tests
Bei Chen, Fengji Zhang, Anh Nguyen +4
The task of generating code solutions for a given programming problem can benefit from the use of pre-trained language models such as Codex, which can produce multiple diverse samp…