Alexey Svyatkovskiy

52 papers A* 3A 2C 1Journal 31Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Program Merge: What's Deep Learning Got to Do with It? Commun. ACM Shuvendu K. Lahiri, Alexey Svyatkovskiy, Christian Bird, Erik Meijer, Terry Coatta
2025	—	`conf`	Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. DeepTest Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2024	J	`jnl`	Program Merge: What's Deep Learning Got to Do with It?: A discussion with Shuvendu Lahiri, Alexey Svyatkovskiy, Christian Bird, Erik Meijer and Terry Coatta. ACM Queue Shuvendu K. Lahiri, Alexey Svyatkovskiy, Christian Bird, Erik Meijer, Terry Coatta
2023	—	`conf`	AdaptivePaste: Intelligent Copy-Paste in IDE. ESEC/SIGSOFT FSE Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy
2023	—	`conf`	Code Execution with Pre-trained Language Models. ACL (Findings) Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan
2023	J	`jnl`	Code Execution with Pre-trained Language Models. CoRR Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan
2023	J	`jnl`	DeepMerge: Learning to Merge Programs. IEEE Trans. Software Eng. Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR 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 W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	—	`conf`	InferFix: End-to-End Program Repair with LLMs. ESEC/SIGSOFT FSE Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
2023	J	`jnl`	InferFix: End-to-End Program Repair with LLMs. CoRR Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
2023	J	`jnl`	Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2022	J	`jnl`	AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations. CoRR Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy
2022	—	`conf`	Automating code review activities by large-scale pre-training. ESEC/SIGSOFT FSE Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan
2022	J	`jnl`	CodeReviewer: Pre-Training for Automating Code Review Activities. CoRR Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan
2022	J	`jnl`	Exploring and Evaluating Personalized Models for Code Generation. CoRR Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
2022	—	`conf`	Exploring and evaluating personalized models for code generation. ESEC/SIGSOFT FSE Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
2022	C	`conf`	Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. AST Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
2022	A*	`conf`	Learning to Complete Code with Sketches. ICLR Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis
2022	A	`conf`	METHODS2TEST: A dataset of focal methods mapped to test cases. MSR Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
2022	J	`jnl`	Methods2Test: A dataset of focal methods mapped to test cases. CoRR Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
2022	—	`conf`	Program merge conflict resolution via neural transformers. ESEC/SIGSOFT FSE Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Elizabeth Dinella, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu K. Lahiri
2022	—	`conf`	ReACC: A Retrieval-Augmented Code Completion Framework. ACL (1) Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy
2022	J	`jnl`	ReACC: A Retrieval-Augmented Code Completion Framework. CoRR Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy
2021	—	`conf`	CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR 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
2021	J	`jnl`	DeepMerge: Learning to Merge Programs. CoRR Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri
2021	A	`conf`	Fast and Memory-Efficient Neural Code Completion. MSR Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltiadis Allamanis
2021	J	`jnl`	Generating Bug-Fixes Using Pretrained Transformers. CoRR Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
2021	—	`conf`	Generating bug-fixes using pretrained transformers. MAPS@PLDI Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
2021	A*	`conf`	GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 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
2021	J	`jnl`	Learning to Generate Code Sketches. CoRR Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis
2021	—	`conf`	Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. EMNLP (1) Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021	J	`jnl`	Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. CoRR Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021	J	`jnl`	MergeBERT: Program Merge Conflict Resolution via Neural Transformers. CoRR Alexey Svyatkovskiy, Todd Mytkowicz, Negar Ghorbani, Sarah Fakhoury, Elizabeth Dinella, Christian Bird, Neel Sundaresan, Shuvendu K. Lahiri
2020	J	`jnl`	Fast and Memory-Efficient Neural Code Completion. CoRR Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis
2020	J	`jnl`	Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. CoRR Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
2020	J	`jnl`	GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR 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
2020	J	`jnl`	IntelliCode Compose: Code Generation Using Transformer. CoRR Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan
2020	—	`conf`	IntelliCode compose: code generation using transformer. ESEC/SIGSOFT FSE Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan
2020	—	`conf`	PyMT5: multi-mode translation of natural language and Python code with transformers. EMNLP (1) Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan
2020	J	`jnl`	PyMT5: multi-mode translation of natural language and Python code with transformers. CoRR Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan
2020	J	`jnl`	Unit Test Case Generation with Transformers. CoRR Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan
2019	J	`jnl`	Large-scale text processing pipeline with Apache Spark. CoRR Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
2019	J	`jnl`	Predicting disruptive instabilities in controlled fusion plasmas through deep learning. Nat. Julian Kates-Harbeck, Alexey Svyatkovskiy, William Tang
2019	A*	`conf`	Pythia: AI-assisted Code Completion System. KDD Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan
2019	J	`jnl`	Pythia: AI-assisted Code Completion System. CoRR Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan
2019	J	`jnl`	Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters. CoRR Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang
2019	J	`jnl`	Using Big Data Technologies for HEP Analysis. CoRR 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
2017	J	`jnl`	Big Data in HEP: A comprehensive use case study. CoRR Oliver Gutsche, Matteo Cremonesi, Peter Elmer, Bo Jayatilaka, Jim Kowalkowski, Jim Pivarski, Saba Sehrish, Cristina Mantilla Suarez, Alexey Svyatkovskiy, Nhan Tran
2017	J	`jnl`	CMS Analysis and Data Reduction with Apache Spark. CoRR 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
2017	—	`conf`	Training distributed deep recurrent neural networks with mixed precision on GPU clusters. MLHPC@SC Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang
2016	—	`conf`	Large-scale text processing pipeline with Apache Spark. IEEE BigData Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito