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Kensen Shi
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2020 – today
- 2024
- [c10]Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton:
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. ICLR 2024 - [i14]Yeming Wen, Pengcheng Yin, Kensen Shi, Henryk Michalewski, Swarat Chaudhuri, Alex Polozov:
Grounding Data Science Code Generation with Input-Output Specifications. CoRR abs/2402.08073 (2024) - [i13]Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin:
NExT: Teaching Large Language Models to Reason about Code Execution. CoRR abs/2404.14662 (2024) - 2023
- [j3]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:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - [c9]Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton:
Natural Language to Code Generation in Interactive Data Science Notebooks. ACL (1) 2023: 126-173 - [c8]Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin:
Can Large Language Models Reason about Program Invariants? ICML 2023: 27496-27520 - [c7]Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton:
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas. NeurIPS 2023 - [i12]Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton:
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas. CoRR abs/2306.02049 (2023) - [i11]Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton:
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. CoRR abs/2307.13883 (2023) - 2022
- [j2]Kensen Shi
, David Bieber
, Rishabh Singh
:
TF-Coder: Program Synthesis for Tensor Manipulations. ACM Trans. Program. Lang. Syst. 44(2): 10:1-10:36 (2022) - [c6]Kensen Shi, Hanjun Dai, Kevin Ellis, Charles Sutton:
CrossBeam: Learning to Search in Bottom-Up Program Synthesis. ICLR 2022 - [i10]Kensen Shi, Hanjun Dai, Kevin Ellis, Charles Sutton:
CrossBeam: Learning to Search in Bottom-Up Program Synthesis. CoRR abs/2203.10452 (2022) - [i9]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:
PaLM: Scaling Language Modeling with Pathways. CoRR abs/2204.02311 (2022) - [i8]Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton:
Compositional Generalization and Decomposition in Neural Program Synthesis. CoRR abs/2204.03758 (2022) - [i7]David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent J. Hellendoorn, Daniel D. Johnson, Daniel Tarlow:
A Library for Representing Python Programs as Graphs for Machine Learning. CoRR abs/2208.07461 (2022) - [i6]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:
Natural Language to Code Generation in Interactive Data Science Notebooks. CoRR abs/2212.09248 (2022) - 2021
- [c5]Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai:
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration. ICLR 2021 - 2020
- [c4]Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi:
Learning and Evaluating Contextual Embedding of Source Code. ICML 2020: 5110-5121 - [c3]Kensen Shi, David Bieber, Charles Sutton:
Incremental Sampling Without Replacement for Sequence Models. ICML 2020: 8785-8795 - [i5]Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi:
Pre-trained Contextual Embedding of Source Code. CoRR abs/2001.00059 (2020) - [i4]Kensen Shi, David Bieber, Charles Sutton:
Incremental Sampling Without Replacement for Sequence Models. CoRR abs/2002.09067 (2020) - [i3]Kensen Shi, David Bieber, Rishabh Singh:
TF-Coder: Program Synthesis for Tensor Manipulations. CoRR abs/2003.09040 (2020) - [i2]Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton:
BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration. CoRR abs/2007.14381 (2020)
2010 – 2019
- 2019
- [j1]Kensen Shi, Jacob Steinhardt, Percy Liang:
FrAngel: component-based synthesis with control structures. Proc. ACM Program. Lang. 3(POPL): 73:1-73:29 (2019) - 2018
- [i1]Kensen Shi, Jacob Steinhardt, Percy Liang:
FrAngel: Component-Based Synthesis with Control Structures. CoRR abs/1811.05175 (2018) - 2014
- [c2]Kensen Shi, Jory Denny, Nancy M. Amato:
Spark PRM: Using RRTs within PRMs to efficiently explore narrow passages. ICRA 2014: 4659-4666 - 2013
- [c1]Jory Denny, Kensen Shi, Nancy M. Amato:
Lazy Toggle PRM: A single-query approach to motion planning. ICRA 2013: 2407-2414
Coauthor Index
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last updated on 2024-07-30 20:44 CEST by the dblp team
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