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Charles Sutton

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Universal Self-Consistency for Large Language Model Generation

Nov 29, 2023
Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou

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Training Chain-of-Thought via Latent-Variable Inference

Nov 28, 2023
Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

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ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis

Jul 26, 2023
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

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A Probabilistic Framework for Modular Continual Learning

Jun 11, 2023
Lazar Valkov, Akash Srivastava, Swarat Chaudhuri, Charles Sutton

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LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas

Jun 03, 2023
Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton

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Natural Language to Code Generation in Interactive Data Science Notebooks

Dec 19, 2022
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton

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A Library for Representing Python Programs as Graphs for Machine Learning

Aug 15, 2022
David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent Hellendoorn, Daniel Johnson, Daniel Tarlow

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Language Model Cascades

Jul 28, 2022
David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-dickstein, Kevin Murphy, Charles Sutton

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Repairing Systematic Outliers by Learning Clean Subspaces in VAEs

Jul 17, 2022
Simao Eduardo, Kai Xu, Alfredo Nazabal, Charles Sutton

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