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- Neel Sundaresan
aka: Neelakantan Sundaresan
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Publication search results
found 132 matches
- 2024
- Anisha Agarwal, Aaron Chan, Shubham Chandel, Jinu Jang, Shaun Miller, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Neel Sundaresan, Michele Tufano:
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming. CoRR abs/2402.14261 (2024) - Michele Tufano, Anisha Agarwal, Jinu Jang, Roshanak Zilouchian Moghaddam, Neel Sundaresan:
AutoDev: Automated AI-Driven Development. CoRR abs/2403.08299 (2024) - Mengnan Qi, Yufan Huang, Yongqiang Yao, Maoquan Wang, Bin Gu, Neel Sundaresan:
Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension. CoRR abs/2404.08885 (2024) - 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: 4984-4999 - Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan:
Program Translation via Code Distillation. EMNLP 2023: 10903-10914 - 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 - 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 - Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy:
AdaptivePaste: Intelligent Copy-Paste in IDE. ESEC/SIGSOFT FSE 2023: 1844-1854 - 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) - 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) - Aaron Chan, Anant Kharkar, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Alec Helyar, Eslam Kamal, Mohamed Elkamhawy, Neel Sundaresan:
Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning? CoRR abs/2306.01754 (2023) - Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan:
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot. CoRR abs/2306.17077 (2023) - Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement:
Predicting Code Coverage without Execution. CoRR abs/2307.13383 (2023) - Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy:
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR abs/2310.02368 (2023) - 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) - 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) - Yang Xu, Yongqiang Yao, Yufan Huang, Mengnan Qi, Maoquan Wang, Bin Gu, Neel Sundaresan:
Rethinking the Instruction Quality: LIFT is What You Need. CoRR abs/2312.11508 (2023) - 2022
- Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. AST@ICSE 2022: 54-64 - 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 - Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan:
Generating Examples from CLI Usage: Can Transformers Help? KDD 2022: 3575-3583 - Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy:
METHODS2TEST: A dataset of focal methods mapped to test cases. MSR 2022: 299-303 - 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 - 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 - 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 - 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 - Shubham Chandel, Colin B. Clement, Guillermo Serrato, Neel Sundaresan:
Training and Evaluating a Jupyter Notebook Data Science Assistant. CoRR abs/2201.12901 (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 abs/2203.09095 (2022) - 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) - Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy:
Methods2Test: A dataset of focal methods mapped to test cases. CoRR abs/2203.12776 (2022) - 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)
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