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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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* 46 pages. 32 figures 

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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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* 21 pages, 14 figures 

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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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* Presented as spotlight at the Beyond Bases workshop at ICML 2022 (https://beyond-bayes.github.io

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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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* Submitted for review in ICLR 2022 

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PaLM: Scaling Language Modeling with Pathways


Apr 19, 2022
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

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Compositional Generalization and Decomposition in Neural Program Synthesis


Apr 07, 2022
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

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* Published at the Deep Learning for Code (DL4C) Workshop at ICLR 2022 

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CrossBeam: Learning to Search in Bottom-Up Program Synthesis


Mar 20, 2022
Kensen Shi, Hanjun Dai, Kevin Ellis, Charles Sutton

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* Published at ICLR 2022 

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Show Your Work: Scratchpads for Intermediate Computation with Language Models


Nov 30, 2021
Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena

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