95 citations · 251 across the 12 of their papers we have counts for
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cs.CL2021
Few-Shot Semantic Parsing with Language Models Trained On Code
Richard Shin, Benjamin Van Durme
Large language models can perform semantic parsing with little training data, when prompted with in-context examples. It has been shown that this can be improved by formulating the…
cs.CL2021★ 2 cited
Constrained Language Models Yield Few-Shot Semantic Parsers
Richard Shin, Christopher H. Lin, Sam Thomson +7
We explore the use of large pretrained language models as few-shot semantic parsers. The goal in semantic parsing is to generate a structured meaning representation given a natural…