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ORCIDColin B. Clement
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2020 – today
- 2023
[c10]Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan:
Program Translation via Code Distillation. EMNLP 2023: 10903-10914- [c9]Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan:
SUT: Active Defects Probing for Transcompiler Models. EMNLP 2023: 14024-14034 - [i16]Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement:
Predicting Code Coverage without Execution. CoRR abs/2307.13383 (2023) - [i15]Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan:
Program Translation via Code Distillation. CoRR abs/2310.11476 (2023) - [i14]Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan:
SUT: Active Defects Probing for Transcompiler Models. CoRR abs/2310.14209 (2023) - 2022
- [c8]Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan:
Learning to Reduce False Positives in Analytic Bug Detectors. ICSE 2022: 1307-1316 - [c7]Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan:
Generating Examples from CLI Usage: Can Transformers Help? KDD 2022: 3575-3583 - [c6]Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement, Neel Sundaresan, Chen Wu:
DeepDev-PERF: a deep learning-based approach for improving software performance. ESEC/SIGSOFT FSE 2022: 948-958 - [c5]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 - [i13]Shubham Chandel, Colin B. Clement, Guillermo Serrato, Neel Sundaresan:
Training and Evaluating a Jupyter Notebook Data Science Assistant. CoRR abs/2201.12901 (2022) - [i12]Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan:
Learning to Reduce False Positives in Analytic Bug Detectors. CoRR abs/2203.09907 (2022) - [i11]Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan:
Generating Examples From CLI Usage: Can Transformers Help? CoRR abs/2204.12648 (2022) - [i10]Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement, Neel Sundaresan, Chen Wu:
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance. CoRR abs/2206.13619 (2022) - [i9]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) - [i8]Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan
, Jianfeng Gao:
Execution-based Evaluation for Data Science Code Generation Models. CoRR abs/2211.09374 (2022) - 2021
- [c4]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 - [c3]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 - [c2]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 - [i7]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) - [i6]Dawn Drain, Colin B. Clement, Guillermo Serrato, Neel Sundaresan:
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons. CoRR abs/2105.09352 (2021) - [i5]Colin B. Clement, Chen Wu, Dawn Drain, Neel Sundaresan:
Distilling Transformers for Neural Cross-Domain Search. CoRR abs/2108.03322 (2021) - [i4]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
- [c1]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 - [i3]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) - [i2]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
- [i1]Colin B. Clement, Matthew Bierbaum, Kevin P. O'Keeffe, Alexander A. Alemi:
On the Use of ArXiv as a Dataset. CoRR abs/1905.00075 (2019)
Coauthor Index
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