Alexey Svyatkovskiy

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 49

Top Topics

Test Generation

Code Generation

Top Venues

ESEC/SIGSOFT FSE

Publications

Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
InferFix: End-to-End Program Repair with LLMs. CoRR (2023)
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR (2023)
Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri
DeepMerge: Learning to Merge Programs. IEEE Trans. Software Eng. 49 (4) (2023)
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy
AdaptivePaste: Intelligent Copy-Paste in IDE. ESEC/SIGSOFT FSE (2023)
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)
Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan
Code Execution with Pre-trained Language Models. CoRR (2023)
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)
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 (2023)
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
Exploring and Evaluating Personalized Models for Code Generation. CoRR (2022)
Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy
ReACC: A Retrieval-Augmented Code Completion Framework. ACL (1) (2022)
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
Methods2Test: A dataset of focal methods mapped to test cases. CoRR (2022)
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. AST@ICSE (2022)
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)
Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis
Learning to Complete Code with Sketches. ICLR (2022)
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)
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations. CoRR (2022)
Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy
ReACC: A Retrieval-Augmented Code Completion Framework. CoRR (2022)
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 (2022)
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)
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
METHODS2TEST: A dataset of focal methods mapped to test cases. MSR (2022)
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)
Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltiadis Allamanis
Fast and Memory-Efficient Neural Code Completion. MSR (2021)
Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis
Learning to Generate Code Sketches. CoRR (2021)
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 (2021)
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)
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 (2021)
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 (2021)
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)
Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
Generating Bug-Fixes Using Pretrained Transformers. CoRR (2021)
Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri
DeepMerge: Learning to Merge Programs. CoRR (2021)
Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
Generating bug-fixes using pretrained transformers. MAPS@PLDI (2021)
Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan
IntelliCode Compose: Code Generation Using Transformer. CoRR (2020)
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 (2020)
Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan
IntelliCode compose: code generation using transformer. ESEC/SIGSOFT FSE (2020)
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. CoRR (2020)
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)
Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis
Fast and Memory-Efficient Neural Code Completion. CoRR (2020)
Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan
PyMT5: multi-mode translation of natural language and Python code with transformers. CoRR (2020)
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan
Unit Test Case Generation with Transformers. CoRR (2020)
Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
Large-scale text processing pipeline with Apache Spark. CoRR (2019)
Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang
Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters. CoRR (2019)
Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan
Pythia: AI-assisted Code Completion System. CoRR (2019)
Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan
Pythia: AI-assisted Code Completion System. KDD (2019)
Julian Kates-Harbeck, Alexey Svyatkovskiy, William Tang
Predicting disruptive instabilities in controlled fusion plasmas through deep learning. Nat. 568 (7753) (2019)
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 (2019)
Oliver Gutsche, Matteo Cremonesi, Peter Elmer, Bo Jayatilaka, Jim Kowalkowski, Jim Pivarski, Saba Sehrish, Cristina Mantilla Surez, Alexey Svyatkovskiy, Nhan Tran
Big Data in HEP: A comprehensive use case study. CoRR (2017)
Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang
Training distributed deep recurrent neural networks with mixed precision on GPU clusters. MLHPC@SC (2017)
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 (2017)
Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
Large-scale text processing pipeline with Apache Spark. IEEE BigData (2016)