Search Results for author: Elizabeth Ke

Found 2 papers, 1 papers with code

A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level

1 code implementation • 31 Dec 2021 • Iddo Drori, Sarah Zhang, Reece Shuttleworth, Leonard Tang, Albert Lu, Elizabeth Ke, Kevin Liu, Linda Chen, Sunny Tran, Newman Cheng, Roman Wang, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang

We automatically synthesize programs using few-shot learning and OpenAI's Codex transformer and execute them to solve course problems at 81% automatic accuracy.

Few-Shot Learning Language Modelling +4

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Solving Probability and Statistics Problems by Program Synthesis

no code implementations • 16 Nov 2021 • Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori

Our work is the first to introduce a new dataset of university-level probability and statistics problems and solve these problems in a scalable fashion using the program synthesis capabilities of large language models.

Program Synthesis Prompt Engineering

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