155 citations · 309 across the 27 of their papers we have counts for
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cs.CL2024
An Empirical Study of Validating Synthetic Data for Formula Generation
Usneek Singh, José Cambronero, Sumit Gulwani +5
Large language models (LLMs) can be leveraged to help with writing formulas in spreadsheets, but resources on these formulas are scarce, impacting both the base performance of pre-…
cs.CL2023★ 6 cited
Guiding Language Models of Code with Global Context using Monitors
Lakshya A Agrawal, Aditya Kanade, Navin Goyal +2
Language models of code (LMs) work well when the surrounding code provides sufficient context. This is not true when it becomes necessary to use types, functionality or APIs define…