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2020 – today
- 2023
[j2]Elizabeth Dinella
, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri:
DeepMerge: Learning to Merge Programs. IEEE Trans. Software Eng. 49(4): 1599-1614 (2023)- [c20]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. ACL (Findings) 2023: 4984-4999 - [c19]Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. ESEC/SIGSOFT FSE 2023: 1646-1656 - [c18]Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy:
AdaptivePaste: Intelligent Copy-Paste in IDE. ESEC/SIGSOFT FSE 2023: 1844-1854 - [i27]Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. CoRR abs/2303.07263 (2023) - [i26]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. CoRR abs/2305.05383 (2023) - [i25]Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy:
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR abs/2310.02368 (2023) - [i24]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [c17]Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy:
ReACC: A Retrieval-Augmented Code Completion Framework. ACL (1) 2022: 6227-6240 - [c16]Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. AST@ICSE 2022: 54-64 - [c15]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Complete Code with Sketches. ICLR 2022 - [c14]Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy:
METHODS2TEST: A dataset of focal methods mapped to test cases. MSR 2022: 299-303 - [c13]Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Elizabeth Dinella, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu K. Lahiri:
Program merge conflict resolution via neural transformers. ESEC/SIGSOFT FSE 2022: 822-833 - [c12]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
Automating code review activities by large-scale pre-training. ESEC/SIGSOFT FSE 2022: 1035-1047 - [c11]Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano:
Exploring and evaluating personalized models for code generation. ESEC/SIGSOFT FSE 2022: 1500-1508 - [i23]Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy:
ReACC: A Retrieval-Augmented Code Completion Framework. CoRR abs/2203.07722 (2022) - [i22]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
CodeReviewer: Pre-Training for Automating Code Review Activities. CoRR abs/2203.09095 (2022) - [i21]Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy:
Methods2Test: A dataset of focal methods mapped to test cases. CoRR abs/2203.12776 (2022) - [i20]Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy:
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations. CoRR abs/2205.11023 (2022) - [i19]Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano:
Exploring and Evaluating Personalized Models for Code Generation. CoRR abs/2208.13928 (2022) - 2021
- [c10]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. EMNLP (1) 2021: 4713-4722 - [c9]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c8]Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltiadis Allamanis:
Fast and Memory-Efficient Neural Code Completion. MSR 2021: 329-340 - [c7]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c6]Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan:
Generating bug-fixes using pretrained transformers. MAPS@PLDI 2021: 1-8 - [i18]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i17]Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Bug-Fixes Using Pretrained Transformers. CoRR abs/2104.07896 (2021) - [i16]Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri:
DeepMerge: Learning to Merge Programs. CoRR abs/2105.07569 (2021) - [i15]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Generate Code Sketches. CoRR abs/2106.10158 (2021) - [i14]Alexey Svyatkovskiy, Todd Mytkowicz, Negar Ghorbani, Sarah Fakhoury, Elizabeth Dinella, Christian Bird, Neel Sundaresan, Shuvendu K. Lahiri:
MergeBERT: Program Merge Conflict Resolution via Neural Transformers. CoRR abs/2109.00084 (2021) - [i13]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. CoRR abs/2109.08780 (2021) - 2020
- [c5]Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan:
PyMT5: multi-mode translation of natural language and Python code with transformers. EMNLP (1) 2020: 9052-9065 - [c4]Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan:
IntelliCode compose: code generation using transformer. ESEC/SIGSOFT FSE 2020: 1433-1443 - [i12]Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis:
Fast and Memory-Efficient Neural Code Completion. CoRR abs/2004.13651 (2020) - [i11]Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan:
IntelliCode Compose: Code Generation Using Transformer. CoRR abs/2005.08025 (2020) - [i10]Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan:
Unit Test Case Generation with Transformers. CoRR abs/2009.05617 (2020) - [i9]Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. CoRR abs/2009.05634 (2020) - [i8]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i7]Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan:
PyMT5: multi-mode translation of natural language and Python code with transformers. CoRR abs/2010.03150 (2020)
2010 – 2019
- 2019
- [j1]Julian Kates-Harbeck, Alexey Svyatkovskiy, William Tang:
Predicting disruptive instabilities in controlled fusion plasmas through deep learning. Nat. 568(7753): 526-531 (2019) - [c3]Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan:
Pythia: AI-assisted Code Completion System. KDD 2019: 2727-2735 - [i6]Matteo Cremonesi, Claudio Bellini, Bianny Bian, Luca Canali, Vasileios Dimakopoulos, Peter Elmer, Ian Fisk, Maria Girone, Oliver Gutsche, Siew-Yan Hoh, Bo Jayatilaka, Viktor Khristenko, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti:
Using Big Data Technologies for HEP Analysis. CoRR abs/1901.07143 (2019) - [i5]Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang:
Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters. CoRR abs/1912.00286 (2019) - [i4]Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito:
Large-scale text processing pipeline with Apache Spark. CoRR abs/1912.00547 (2019) - [i3]Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan:
Pythia: AI-assisted Code Completion System. CoRR abs/1912.00742 (2019) - 2017
- [c2]Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang:
Training distributed deep recurrent neural networks with mixed precision on GPU clusters. MLHPC@SC 2017: 10:1-10:8 - [i2]Oliver Gutsche, Matteo Cremonesi, Peter Elmer, Bo Jayatilaka, Jim Kowalkowski, Jim Pivarski, Saba Sehrish, Cristina Mantilla Suarez, Alexey Svyatkovskiy, Nhan Tran:
Big Data in HEP: A comprehensive use case study. CoRR abs/1703.04171 (2017) - [i1]Oliver Gutsche, Luca Canali, Illia Cremer, Matteo Cremonesi, Peter Elmer, Ian Fisk, Maria Girone, Bo Jayatilaka, Jim Kowalkowski, Viktor Khristenko, Evangelos Motesnitsalis, Jim Pivarski, Saba Sehrish, Kacper Surdy, Alexey Svyatkovskiy:
CMS Analysis and Data Reduction with Apache Spark. CoRR abs/1711.00375 (2017) - 2016
- [c1]Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito:
Large-scale text processing pipeline with Apache Spark. IEEE BigData 2016: 3928-3935
Coauthor Index
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