Kensen Shi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Natural Language Outlines for Code: Literate Programming in the LLM Era	2024	Kensen Shi Deniz Altınbüken Saswat Anand Mihai Christodorescu Katja Grünwedel Alexa Koenings S Sanyasi Naidu A. D. Pathak Marc Rasi Fredde Ribeiro
+ PDF Chat	NExT: Teaching Large Language Models to Reason about Code Execution	2024	Ansong Ni Miltiadis Allamanis Arman Cohan Yinlin Deng Kensen Shi Charles Sutton Pengcheng Yin
+ PDF Chat	Grounding Data Science Code Generation with Input-Output Specifications	2024	Yeming Wen Pengcheng Yin Kensen Shi Henryk Michalewski Swarat Chaudhuri Alex Polozov
+	LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas	2023	Kensen Shi Hanjun Dai Wen-Ding Li Kevin Ellis Charles Sutton
+	ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis	2023	Kensen Shi Joey Hong Manzil Zaheer Pengcheng Yin Charles Sutton
+	Natural Language to Code Generation in Interactive Data Science Notebooks	2023	Pengcheng Yin Wen-Ding Li Kefan Xiao Abhishek S. Rao Yeming Wen Kensen Shi J. J. Howland Paige Bailey Michele Catasta Henryk Michalewski
+ PDF Chat	TF-Coder: Program Synthesis for Tensor Manipulations	2022	Kensen Shi David Bieber Rishabh Singh
+	Compositional Generalization and Decomposition in Neural Program Synthesis	2022	Kensen Shi Joey Hong Manzil Zaheer Pengcheng Yin Charles Sutton
+	PaLM: Scaling Language Modeling with Pathways	2022	Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra Adam Roberts Paul Barham Hyung Won Chung Charles Sutton Sebastian Gehrmann
+	CrossBeam: Learning to Search in Bottom-Up Program Synthesis	2022	Kensen Shi Hanjun Dai Kevin Ellis Charles Sutton
+	A Library for Representing Python Programs as Graphs for Machine Learning	2022	David Bieber Kensen Shi Petros Maniatis Charles Sutton Vincent J. Hellendoorn D. Johnson Daniel Tarlow
+	Natural Language to Code Generation in Interactive Data Science Notebooks	2022	Pengcheng Yin Wen-Ding Li Kefan Xiao Abhishek S. Rao Yeming Wen Kensen Shi J. J. Howland Paige Bailey Michele Catasta Henryk Michalewski
+	BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration	2020	Augustus Odena Kensen Shi David Bieber Rishabh Singh Charles Sutton
+	TF-Coder: Program Synthesis for Tensor Manipulations	2020	Kensen Shi David Bieber Rishabh Singh
+	TF-Coder: Program Synthesis for Tensor Manipulations	2020	Kensen Shi David Bieber Rishabh Singh
+ PDF Chat	Incremental Sampling Without Replacement for Sequence Models	2020	Kensen Shi David Bieber Charles Sutton
+	Incremental Sampling Without Replacement for Sequence Models	2020	Kensen Shi David Bieber Charles Sutton
+	Learning and Evaluating Contextual Embedding of Source Code	2020	Aditya Kanade Petros Maniatis Gogul Balakrishnan Kensen Shi
+	BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration	2020	Augustus Odena Kensen Shi David Bieber Rishabh Singh Charles Sutton Hanjun Dai
+ PDF Chat	Learning and Evaluating Contextual Embedding of Source Code	2019	Aditya Kanade Petros Maniatis Gogul Balakrishnan Kensen Shi
+	Pre-trained Contextual Embedding of Source Code	2019	Aditya Kanade Petros Maniatis Gogul Balakrishnan Kensen Shi
+ PDF Chat	FrAngel: component-based synthesis with control structures	2019	Kensen Shi Jacob Steinhardt Percy Liang

Common Coauthors

Coauthor	Papers Together
Charles Sutton	12
Pengcheng Yin	8
David Bieber	6
Rishabh Singh	5
Henryk Michalewski	4
Petros Maniatis	4
Gogul Balakrishnan	3
Wen-Ding Li	3
Manzil Zaheer	3
Abhishek S. Rao	3
Yeming Wen	3
Aditya Kanade	3
Michele Catasta	3
Alex Polozov	2
Kefan Xiao	2
Charles Sutton	2
Kevin Ellis	2
J. J. Howland	2
Paige Bailey	2
Augustus Odena	2
Joey Hong	2
David Bieber	2
Oleksandr Polozov	2
Hanjun Dai	2
Sebastian Gehrmann	1
Barret Zoph	1
Percy Liang	1
Érica Rodrigues Moreira	1
Vincent J. Hellendoorn	1
Sasha Tsvyashchenko	1
Xuezhi Wang	1
Thanumalayan Sankaranarayana Pillai	1
Jacob Austin	1
Daphne Ippolito	1
Hyung Won Chung	1
Noam Shazeer	1
Sanjay Ghemawat	1
Parker Schuh	1
Joshua Maynez	1
Emily Reif	1
Mark Díaz	1
Vinodkumar Prabhakaran	1
Hanjun Dai	1
Kevin Robinson	1
Hyeontaek Lim	1
Mihai Christodorescu	1
Aitor Lewkowycz	1
James T. Bradbury	1
Adam Roberts	1
Jeff Dean	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Stochastic superoptimization	2013	Eric Schkufza Rahul Sharma Alex Aiken	4
+ PDF Chat	The adverse effects of code duplication in machine learning models of code	2019	Miltiadis Allamanis	3
+ PDF Chat	FrAngel: component-based synthesis with control structures	2019	Kensen Shi Jacob Steinhardt Percy Liang	3
+	Synthetic Datasets for Neural Program Synthesis	2019	Richard Shin Neel Kant Kavi Gupta Christopher M. Bender Brandon Trabucco Rishabh Singh Dawn Song	3
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	2
+	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	2015	Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang	2
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	2
+	Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis.	2018	Rudy Bunel Matthew Hausknecht Jacob Devlin Rishabh Singh Pushmeet Kohli	2
+ PDF Chat	Mapping Language to Code in Programmatic Context	2018	Srinivasan Iyer Ioannis Konstas Alvin Cheung Luke Zettlemoyer	2
+	Learning to Represent Programs with Graphs	2017	Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi	2
+ PDF Chat	code2vec: learning distributed representations of code	2019	Uri Alon Meital Zilberstein Omer Levy Eran Yahav	2
+ PDF Chat	The three pillars of machine programming	2018	Justin Gottschlich Armando Solar-Lezama Nesime Tatbul Michael Carbin Martin Rinard Regina Barzilay Saman Amarasinghe Joshua B. Tenenbaum Tim Mattson	2
+ PDF Chat	A Survey of Machine Learning for Big Code and Naturalness	2018	Miltiadis Allamanis Earl T. Barr Prémkumar Dévanbu Charles Sutton	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	2
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	2
+ PDF Chat	A Syntactic Neural Model for General-Purpose Code Generation	2017	Pengcheng Yin Graham Neubig	2
+ PDF Chat	sk_p: a neural program corrector for MOOCs	2016	Yewen Pu Karthik Narasimhan Armando Solar-Lezama Regina Barzilay	2
+ PDF Chat	Synthesis of data completion scripts using finite tree automata	2017	Xinyu Wang Işıl Dillig Rishabh Singh	2
+	Understanding the exploding gradient problem	2012	Razvan Pascanu Tomáš Mikolov Yoshua Bengio	2
+ PDF Chat	50 Years of Data Science	2017	David L. Donoho	1
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	1
+	Mutual Information and Diverse Decoding Improve Neural Machine Translation	2016	Jiwei Li Dan Jurafsky	1
+	Neural Program Repair by Jointly Learning to Localize and Repair	2019	Marko Vasić Aditya Kanade Petros Maniatis David Bieber Rishabh Singh	1
+	The Adverse Effects of Code Duplication in Machine Learning Models of Code	2018	Miltiadis Allamanis	1
+	Component-based synthesis of table consolidation and transformation tasks from examples	2017	Yu Feng Ruben Martins Jacob Van Geffen Işıl Dillig Swarat Chaudhuri	1
+	Program Synthesis using Abstraction Refinement	2017	Xinyu Wang Işıl Dillig Rishabh Singh	1
+	A Literature Study of Embeddings on Source Code	2019	Zimin Chen Martin Monperrus	1
+	On the difficulty of training Recurrent Neural Networks	2012	Razvan Pascanu Tomáš Mikolov Yoshua Bengio	1
+	Neural Program Repair by Jointly Learning to Localize and Repair	2019	Marko Vasić Aditya Kanade Petros Maniatis David Bieber Rishabh Singh	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	An Introduction to Probabilistic Programming	2018	Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood	1
+ PDF Chat	Enriching Word Vectors with Subword Information	2017	Piotr Bojanowski Édouard Grave Armand Joulin Tomáš Mikolov	1
+	Program synthesis from polymorphic refinement types	2016	Nadia Polikarpova Ivan Kuraj Armando Solar-Lezama	1
+	Deep Learning to Detect Redundant Method Comments	2018	Annie Louis Santanu Kumar Dash Earl T. Barr Charles Sutton	1
+	Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement	2019	Wouter Kool Herke van Hoof Max Welling	1
+ PDF Chat	DeepBugs: a learning approach to name-based bug detection	2018	Michael Pradel Koushik Sen	1
+ PDF Chat	Hierarchical Neural Story Generation	2018	Angela Fan Mike Lewis Yann Dauphin	1
+	Spreadsheet table transformations from examples	2011	William R. Harris Sumit Gulwani	1
+	Neuro-Symbolic Program Synthesis	2016	Emilio Parisotto Abdelrahman Mohamed Rishabh Singh Lihong Li Dengyong Zhou Pushmeet Kohli	1
+	Neural Combinatorial Optimization with Reinforcement Learning	2016	Irwan Bello Hieu Pham Quoc V. Le Mohammad Norouzi Samy Bengio	1
+ PDF Chat	Program synthesis using abstraction refinement	2017	Xinyu Wang Işıl Dillig Rishabh Singh	1
+	Attention, Learn to Solve Routing Problems!	2018	Wouter Kool Herke van Hoof Max Welling	1
+ PDF Chat	Learning to Write with Cooperative Discriminators	2018	Ari Holtzman Jan Buys Maxwell Forbes Antoine Bosselut David Golub Yejin Choi	1
+	Convolutional Neural Networks over Tree Structures for Programming Language Processing	2014	Lili Mou Ge Li Lu Zhang Tao Wang Zhi Jin	1
+ PDF Chat	Simpler Context-Dependent Logical Forms via Model Projections	2016	Reginald Long Panupong Pasupat Percy Liang	1
+	RobustFill: Neural Program Learning under Noisy I/O	2017	Jacob Devlin Jonathan Uesato Surya Bhupatiraju Rishabh Singh Abdelrahman Mohamed Pushmeet Kohli	1
+	A* Sampling	2014	Chris J. Maddison Daniel Tarlow Tom Minka	1
+	SPoC: Search-based Pseudocode to Code	2019	Sumith Kulal Panupong Pasupat Kartik Chandra Mina Lee Oded Padon Alex Aiken Percy Liang	1
+	A parallel corpus of Python functions and documentation strings for automated code documentation and code generation	2017	Antonio Valerio Miceli Barone Rico Sennrich	1