Neel Sundaresan

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 59

Top Venues

CoRR

ESEC/SIGSOFT FSE

KDD

WWW (Companion Volume)

Publications

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 (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 (2024)
Michele Tufano, Anisha Agarwal, Jinu Jang, Roshanak Zilouchian Moghaddam, Neel Sundaresan
AutoDev: Automated AI-Driven Development. CoRR (2024)
Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
InferFix: End-to-End Program Repair with LLMs. CoRR (2023)
Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan
Program Translation via Code Distillation. CoRR (2023)
Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin Clement, Neel Sundaresan
SUT: Active Defects Probing for Transcompiler Models. EMNLP (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 (2023)
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR (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)
Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan
Program Translation via Code Distillation. EMNLP (2023)
Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot. 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. CoRR (2023)
Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement
Predicting Code Coverage without Execution. 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)
Yang Xu, Yongqiang Yao, Yufan Huang, Mengnan Qi, Maoquan Wang, Bin Gu, Neel Sundaresan
Rethinking the Instruction Quality: LIFT is What You Need. CoRR (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 (2023)
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
Exploring and Evaluating Personalized Models for Code Generation. CoRR (2022)
Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement, Neel Sundaresan, Chen Wu
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance. CoRR (2022)
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
Methods2Test: A dataset of focal methods mapped to test cases. CoRR (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 (2022)
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. AST@ICSE (2022)
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan
Generating Examples From CLI Usage: Can Transformers Help? CoRR (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)
Shubham Chandel, Colin B. Clement, Guillermo Serrato, Neel Sundaresan
Training and Evaluating a Jupyter Notebook Data Science Assistant. CoRR (2022)
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)
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)
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)
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)
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan
Generating Examples from CLI Usage: Can Transformers Help? KDD (2022)
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
METHODS2TEST: A dataset of focal methods mapped to test cases. MSR (2022)
Dawn Drain, Colin B. Clement, Guillermo Serrato, Neel Sundaresan
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons. CoRR (2021)
Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan, Chen Wu
PerfLens: a data-driven performance bug detection and fix platform. SOAP@PLDI (2021)
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)
Dawn Drain, Changran Hu, Chen Wu, Mikhail Breslav, Neel Sundaresan
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers. 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)
Colin B. Clement, Chen Wu, Dawn Drain, Neel Sundaresan
Distilling Transformers for Neural Cross-Domain Search. 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)
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)
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)
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis. CoRR (2020)
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)
Neel Sundaresan
From Code to Data: AI at Scale for Developer Productivity. KDD (2019)
Dennis Gannon, Roger S. Barga, Neel Sundaresan, Sebastien Goasguen, Niklas Gustaffson, Cornelia Davis, Balan Subramanian, Dan Kohn
An Asynchronous Panel Discussion: What Are Cloud-Native Applications? IEEE Cloud Comput. 4 (5) (2017)
Dennis Gannon, Roger S. Barga, Neel Sundaresan
Cloud-Native Applications. IEEE Cloud Comput. 4 (5) (2017)
Xiang Hui, Maryam Saeedi, Zeqian Shen, Neel Sundaresan
Reputation and Regulations: Evidence from eBay. Manag. Sci. 62 (12) (2016)
Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan
Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction. WACV (2015)
Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan
Fast Approximate Matching of Cell-Phone Videos for Robust Background Subtraction. CoRR (2014)
Atish Das Sarma, Si Si, Elizabeth F. Churchill, Neel Sundaresan
The "expression gap": do you like what you share? WWW (Companion Volume) (2014)
Mohammad Haris Baig, Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, Wei Di, Neel Sundaresan
Im2depth: Scalable exemplar based depth transfer. WACV (2014)
Si Si, Atish Das Sarma, Elizabeth F. Churchill, Neel Sundaresan
Beyond modeling private actions: predicting social shares. WWW (Companion Volume) (2014)
Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, Wei Di, Neel Sundaresan
Large Scale Visual Recommendations From Street Fashion Images. CoRR (2014)
Atish Das Sarma, Nish Parikh, Neel Sundaresan
E-commerce product search: personalization, diversification, and beyond. WWW (Companion Volume) (2014)
Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, Wei Di, Neel Sundaresan
Large scale visual recommendations from street fashion images. KDD (2014)
Bishan Yang, Nish Parikh, Gyanit Singh, Neel Sundaresan
A Study of Query Term Deletion Using Large-Scale E-commerce Search Logs. ECIR (2014)
Wei Di, Neel Sundaresan, Robinson Piramuthu, Anurag Bhardwaj
Is a picture really worth a thousand words?: - on the role of images in e-commerce. WSDM (2014)
Haipeng Zhang, Nish Parikh, Gyanit Singh, Neel Sundaresan
Chelsea won, and you bought a t-shirt: characterizing the interplay between Twitter and e-commerce. ASONAM (2013)
Zeqian Shen, Neel Sundaresan
RepRank: reputation in a peer-to-peer online system. WWW (Companion Volume) (2013)
Anurag Bhardwaj, Atish Das Sarma, Wei Di, Raffay Hamid, Robinson Piramuthu, Neel Sundaresan
Palette power: enabling visual search through colors. KDD (2013)
Wei Di, Catherine Wah, Anurag Bhardwaj, Robinson Piramuthu, Neel Sundaresan
Style Finder: Fine-Grained Clothing Style Detection and Retrieval. CVPR Workshops (2013)
Aditya Khosla, Raffay Hamid, Chih-Jen Lin, Neel Sundaresan
Large-Scale Video Summarization Using Web-Image Priors. CVPR (2013)
Yuchen Zhao, Neel Sundaresan, Zeqian Shen, Philip S. Yu
Anatomy of a web-scale resale market: a data mining approach. WWW (2013)
Jishang Wei, Zeqian Shen, Neel Sundaresan, Kwan-Liu Ma
Visual cluster exploration of web clickstream data. IEEE VAST (2012)
Dan Shen, Jean-David Ruvini, Rajyashree Mukherjee, Neel Sundaresan
A study of smoothing algorithms for item categorization on e-commerce sites. Neurocomputing 92 (2012)
Zeqian Shen, Jishang Wei, Neel Sundaresan, Kwan-Liu Ma
Visual analysis of massive web session data. LDAV (2012)
Gyanit Singh, Nish Parikh, Neel Sundaresan
Rewriting null e-commerce queries to recommend products. WWW (Companion Volume) (2012)
Jian Wang, Badrul Sarwar, Neel Sundaresan
Utilizing related products for post-purchase recommendation in e-commerce. RecSys (2011)
Neel Sundaresan
Data Science and Machine Learning at Scale. ECML/PKDD (1) (2011)
Nish Parikh, Neel Sundaresan
A user-tunable approach to marketplace search. WWW (Companion Volume) (2011)
Zeqian Shen, Neel Sundaresan
eBay: an E-commerce marketplace as a complex network. WSDM (2011)
Gyanit Singh, Nish Parikh, Neel Sundaresan
User behavior in zero-recall ecommerce queries. SIGIR (2011)
Nish Parikh, Neel Sundaresan
Marco Polo: a system for brand-based shopping and exploration. CIKM (2011)
Mohammad Al Hasan, Nish Parikh, Gyanit Singh, Neel Sundaresan
Query suggestion for E-commerce sites. WSDM (2011)
Dan Shen, Jean-David Ruvini, Manas Somaiya, Neel Sundaresan
Item categorization in the e-commerce domain. CIKM (2011)
Nish Parikh, Neel Sundaresan
Beyond relevance in marketplace search. CIKM (2011)
Neel Sundaresan
Recommender systems at the long tail. RecSys (2011)
Dan Shen, Jean-David Ruvini, Rajyashree Mukherjee, Neel Sundaresan
A Study of Smoothing Algorithms for Item Categorization on e-Commerce Sites. ICMLA (2010)
Quang Duong, Neel Sundaresan, Nish Parikh, Zeqian Shen
Modeling Seller Listing Strategies. AMEC/TADA (2010)
Yue Lu, ChengXiang Zhai, Neel Sundaresan
Rated aspect summarization of short comments. WWW (2009)
Nish Parikh, Neel Sundaresan
Buzz-based recommender system. WWW (2009)
Hill Nguyen, Nish Parikh, Neel Sundaresan
A software system for buzz-based recommendations. KDD (2008)
Nish Parikh, Neel Sundaresan
Scalable and near real-time burst detection from eCommerce queries. KDD (2008)
Nish Parikh, Neel Sundaresan
Inferring semantic query relations from collective user behavior. CIKM (2008)
Neel Sundaresan
Services in the Long Tail World: Challenges and Opportunities. ICSOC (2008)
Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi
Multi-factor clustering for a marketplace search interface. WWW (2007)
Neel Sundaresan
Online trust and reputation systems. EC (2007)
Neel Sundaresan, Reshad Moussa
Algorithms and programming models for efficient representation of XML for Internet applications. Comput. Networks 39 (5) (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Neel Sundaresan