One-to-many testing for code generation from (just) natural language
Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le
Findings of EMNLP 2024 | September 2024
Vu Le
Principal Research Manager
Publications
Publications by Year
-
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages
Avik Dutta, Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
EMNLP 2024 | September 2024
Tabularis Revilio: Converting Text to Tables
Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management | August 2024
Solving Data-centric Tasks using Large Language Models
Shraddha Barke, Christian Poelitz, Carina Negreanu, Ben Zorn, José Cambronero, Andy Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
Annual Conference of the North American Chapter of the Association for Computational Linguistics | June 2024
Semantically Aligned Question and Code Generation for Automated Insight Generation
Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
LLM4Code Workshop at ICSE '24 | April 2024
Best Paper
EmFORE: Learning Email Folder Classification Rules by Demonstration
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
38th Annual AAAI Conference on Artificial Intelligence - Demo Track | March 2024, pp. 23835-23837
FLAME: A Small Language Model for Spreadsheet Formulas
Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
AAAI | February 2024
PyDex: Repairing Bugs in Introductory Python Assignments using LLMs
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
Object-oriented Programming, Systems, Languages, and Applications (OOPSLA) | January 2024
-
Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Preprint | December 2023
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin
Table Representation Learning Workshop at NeurIPS 2023 | December 2023
CODEFUSION: A Pre-trained Diffusion Model for Code Generation
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen, Carina Negreanu
EMNLP 2023 | November 2023
TSTR: Target Similarity Tuning Meets the Real World
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
Findings of EMNLP 2023 | November 2023
EmFore: Online Learning of Email Folder Classification Rules
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management | October 2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
50th International Conference on Very Large Data Bases (VLDB 24) | October 2023
DataVinci: Learning Syntactic and Semantic String Repairs
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
Preprint | August 2023
From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
May 2023
Cornet: Learning Table Formatting Rules By Example
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
49th International Conference on Very Large Data Bases | May 2023
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
February 2023
Published by: AAAI | February 2023
FlashFill++: Scaling Programming by Example by Cutting to the Chase
José Cambronero, Sumit Gulwani, Vu Le, Daniel Perelman, Arjun Radhakrishna, Clint Simon, Ashish Tiwari
Principles of Programming Languages | January 2023
-
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi, Harshit Joshi, José Cambronero, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari
OOPSLA | December 2022
Personalized Action Suggestions in Low-Code Automation Platforms
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
International Conference on Software Engineering (ICSE) 2023 - Industry Track | December 2022
NL2Viz: Natural Language to Visualization via Constrained Syntax-Guided Synthesis
Zhengkai Wu, Vu Le, Ashish Tiwari, Sumit Gulwani, Arjun Radhakrishna, Ivan Radicek, Gustavo Soares, Xinyu Wang, Zhenwen Li, Tao Xie
FSE | November 2022
Repairing Bugs in Python Assignments using Large Language Models
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
September 2022
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Chris Meek, Sumit Gulwani
ICLR 2022 | April 2022
-
Multi-modal Program Inference: a Marriage of Pre-trained Language Models and Component-based Synthesis
Kia Rahmani, Mohammad Raza (moraza), Sumit Gulwani (sumitg), Vu Le (levu), Dan Morris (damorri), Arjun Radhakrishna (arradha), Gustavo Soares (gsoares), Ashish Tiwari (astiwar)
OOPSLA | October 2021
reCode: A Lightweight Find-and-Replace Interaction in the IDE for Transforming Code by Example
Wode Ni, Joshua Sunshine, Vu Le, Sumit Gulwani, Titus Barik
UIST 2021 | October 2021
Semantic programming by example with pre-trained models
Gust Verbruggen, Vu Le, Sumit Gulwani
OOPSLA | October 2021
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis
Rangeet Pan, Vu Le, Nachi Nagappan, Sumit Gulwani, Shuvendu Lahiri, Mike Kaufman
2021 IEEE/ACM 43nd International Conference on Software Engineering (ICSE '21) | May 2021
-
Structure interpretation of text formats
Sumit Gulwani, Vu Le, Arjun Radhakrishna, Ivan Radicek, Mohammad Raza
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | November 2020
DOI PDF Author's Version Publication Publication Publication Video Project Project Project
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction
Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani
International Conference on Pattern Recognition | October 2020
-
On the fly synthesis of edit suggestions
Anders Miltner, Sumit Gulwani, Vu Le, Alan Leung, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari, Abhishek Udupa
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | October 2019
-
Finding compiler bugs via live code mutation
Chengnian Sun, Vu Le, Zhendong Su
2016 Conference on Object-Oriented Programming Systems, Languages, and Applications | October 2016
Toward understanding compiler bugs in GCC and LLVM
Chengnian Sun, Vu Le, Qirun Zhang, Zhendong Su
2016 International Symposium on Software Testing and Analysis | July 2016
Finding and analyzing compiler warning defects
Chengnian Sun, Vu Le, Zhendong Su
2016 International Conference on Software Engineering | May 2016
-
Finding deep compiler bugs via guided stochastic program mutation
Vu Le, Chengnian Sun, Zhendong Su
2015 Conference on Object-Oriented Programming Systems, Languages, and Applications | October 2015
Randomized stress-testing of link-time optimizers
Vu Le, Chengnian Sun, Zhendong Su
2015 International Symposium on Software Testing and Analysis | July 2015
-
Compiler validation via equivalence modulo inputs
Vu Le, Mehrdad Afshari, Zhendong Su
2014 Programming Language Design and Implementation | June 2014
Distinguished Paper Award
FlashExtract: a framework for data extraction by examples
2014 Programming Language Design and Implementation | June 2014
DOI PDF PDF Publication Publication Publication Publication Video Video Project Project Project Project Project
-
SmartSynth: synthesizing smartphone automation scripts from natural language
Vu Le, Sumit Gulwani, Zhendong Su
MobiSys'13 | June 2013
Automatic detection of floating-point exceptions
Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su
2013 Symposium on Principles of Programming Languages | January 2013
Publications by Research Area
-
One-to-many testing for code generation from (just) natural language
Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le
Findings of EMNLP 2024 | September 2024
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages
Avik Dutta, Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
EMNLP 2024 | September 2024
Tabularis Revilio: Converting Text to Tables
Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management | August 2024
Solving Data-centric Tasks using Large Language Models
Shraddha Barke, Christian Poelitz, Carina Negreanu, Ben Zorn, José Cambronero, Andy Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
Annual Conference of the North American Chapter of the Association for Computational Linguistics | June 2024
Semantically Aligned Question and Code Generation for Automated Insight Generation
Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
LLM4Code Workshop at ICSE '24 | April 2024
Best Paper
EmFORE: Learning Email Folder Classification Rules by Demonstration
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
38th Annual AAAI Conference on Artificial Intelligence - Demo Track | March 2024, pp. 23835-23837
FLAME: A Small Language Model for Spreadsheet Formulas
Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
AAAI | February 2024
PyDex: Repairing Bugs in Introductory Python Assignments using LLMs
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
Object-oriented Programming, Systems, Languages, and Applications (OOPSLA) | January 2024
Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Preprint | December 2023
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin
Table Representation Learning Workshop at NeurIPS 2023 | December 2023
TSTR: Target Similarity Tuning Meets the Real World
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
Findings of EMNLP 2023 | November 2023
CODEFUSION: A Pre-trained Diffusion Model for Code Generation
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen, Carina Negreanu
EMNLP 2023 | November 2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
50th International Conference on Very Large Data Bases (VLDB 24) | October 2023
EmFore: Online Learning of Email Folder Classification Rules
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management | October 2023
DataVinci: Learning Syntactic and Semantic String Repairs
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
Preprint | August 2023
From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
May 2023
Cornet: Learning Table Formatting Rules By Example
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
49th International Conference on Very Large Data Bases | May 2023
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
February 2023
Published by: AAAI | February 2023
Personalized Action Suggestions in Low-Code Automation Platforms
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
International Conference on Software Engineering (ICSE) 2023 - Industry Track | December 2022
Repairing Bugs in Python Assignments using Large Language Models
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
September 2022
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Chris Meek, Sumit Gulwani
ICLR 2022 | April 2022
Multi-modal Program Inference: a Marriage of Pre-trained Language Models and Component-based Synthesis
Kia Rahmani, Mohammad Raza (moraza), Sumit Gulwani (sumitg), Vu Le (levu), Dan Morris (damorri), Arjun Radhakrishna (arradha), Gustavo Soares (gsoares), Ashish Tiwari (astiwar)
OOPSLA | October 2021
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction
Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani
International Conference on Pattern Recognition | October 2020
On the fly synthesis of edit suggestions
Anders Miltner, Sumit Gulwani, Vu Le, Alan Leung, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari, Abhishek Udupa
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | October 2019
-
One-to-many testing for code generation from (just) natural language
Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le
Findings of EMNLP 2024 | September 2024
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages
Avik Dutta, Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
EMNLP 2024 | September 2024
Tabularis Revilio: Converting Text to Tables
Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management | August 2024
EmFORE: Learning Email Folder Classification Rules by Demonstration
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
38th Annual AAAI Conference on Artificial Intelligence - Demo Track | March 2024, pp. 23835-23837
Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Preprint | December 2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
50th International Conference on Very Large Data Bases (VLDB 24) | October 2023
DataVinci: Learning Syntactic and Semantic String Repairs
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
Preprint | August 2023
Cornet: Learning Table Formatting Rules By Example
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
49th International Conference on Very Large Data Bases | May 2023
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction
Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani
International Conference on Pattern Recognition | October 2020
-
One-to-many testing for code generation from (just) natural language
Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le
Findings of EMNLP 2024 | September 2024
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages
Avik Dutta, Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
EMNLP 2024 | September 2024
Tabularis Revilio: Converting Text to Tables
Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management | August 2024
EmFORE: Learning Email Folder Classification Rules by Demonstration
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
38th Annual AAAI Conference on Artificial Intelligence - Demo Track | March 2024, pp. 23835-23837
PyDex: Repairing Bugs in Introductory Python Assignments using LLMs
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
Object-oriented Programming, Systems, Languages, and Applications (OOPSLA) | January 2024
Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Preprint | December 2023
TSTR: Target Similarity Tuning Meets the Real World
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
Findings of EMNLP 2023 | November 2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
50th International Conference on Very Large Data Bases (VLDB 24) | October 2023
EmFore: Online Learning of Email Folder Classification Rules
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management | October 2023
DataVinci: Learning Syntactic and Semantic String Repairs
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
Preprint | August 2023
From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
May 2023
Cornet: Learning Table Formatting Rules By Example
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
49th International Conference on Very Large Data Bases | May 2023
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
February 2023
Published by: AAAI | February 2023
FlashFill++: Scaling Programming by Example by Cutting to the Chase
José Cambronero, Sumit Gulwani, Vu Le, Daniel Perelman, Arjun Radhakrishna, Clint Simon, Ashish Tiwari
Principles of Programming Languages | January 2023
Personalized Action Suggestions in Low-Code Automation Platforms
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
International Conference on Software Engineering (ICSE) 2023 - Industry Track | December 2022
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi, Harshit Joshi, José Cambronero, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari
OOPSLA | December 2022
NL2Viz: Natural Language to Visualization via Constrained Syntax-Guided Synthesis
Zhengkai Wu, Vu Le, Ashish Tiwari, Sumit Gulwani, Arjun Radhakrishna, Ivan Radicek, Gustavo Soares, Xinyu Wang, Zhenwen Li, Tao Xie
FSE | November 2022
Repairing Bugs in Python Assignments using Large Language Models
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
September 2022
Semantic programming by example with pre-trained models
Gust Verbruggen, Vu Le, Sumit Gulwani
OOPSLA | October 2021
Multi-modal Program Inference: a Marriage of Pre-trained Language Models and Component-based Synthesis
Kia Rahmani, Mohammad Raza (moraza), Sumit Gulwani (sumitg), Vu Le (levu), Dan Morris (damorri), Arjun Radhakrishna (arradha), Gustavo Soares (gsoares), Ashish Tiwari (astiwar)
OOPSLA | October 2021
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis
Rangeet Pan, Vu Le, Nachi Nagappan, Sumit Gulwani, Shuvendu Lahiri, Mike Kaufman
2021 IEEE/ACM 43nd International Conference on Software Engineering (ICSE '21) | May 2021
Structure interpretation of text formats
Sumit Gulwani, Vu Le, Arjun Radhakrishna, Ivan Radicek, Mohammad Raza
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | November 2020
DOI PDF Author's Version Publication Publication Publication Video Project Project Project
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction
Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani
International Conference on Pattern Recognition | October 2020
On the fly synthesis of edit suggestions
Anders Miltner, Sumit Gulwani, Vu Le, Alan Leung, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari, Abhishek Udupa
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | October 2019
Finding compiler bugs via live code mutation
Chengnian Sun, Vu Le, Zhendong Su
2016 Conference on Object-Oriented Programming Systems, Languages, and Applications | October 2016
Toward understanding compiler bugs in GCC and LLVM
Chengnian Sun, Vu Le, Qirun Zhang, Zhendong Su
2016 International Symposium on Software Testing and Analysis | July 2016
Finding and analyzing compiler warning defects
Chengnian Sun, Vu Le, Zhendong Su
2016 International Conference on Software Engineering | May 2016
Finding deep compiler bugs via guided stochastic program mutation
Vu Le, Chengnian Sun, Zhendong Su
2015 Conference on Object-Oriented Programming Systems, Languages, and Applications | October 2015
Randomized stress-testing of link-time optimizers
Vu Le, Chengnian Sun, Zhendong Su
2015 International Symposium on Software Testing and Analysis | July 2015
Compiler validation via equivalence modulo inputs
Vu Le, Mehrdad Afshari, Zhendong Su
2014 Programming Language Design and Implementation | June 2014
Distinguished Paper Award
SmartSynth: synthesizing smartphone automation scripts from natural language
Vu Le, Sumit Gulwani, Zhendong Su
MobiSys'13 | June 2013
Automatic detection of floating-point exceptions
Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su
2013 Symposium on Principles of Programming Languages | January 2013
-
reCode: A Lightweight Find-and-Replace Interaction in the IDE for Transforming Code by Example
Wode Ni, Joshua Sunshine, Vu Le, Sumit Gulwani, Titus Barik
UIST 2021 | October 2021
On the fly synthesis of edit suggestions
Anders Miltner, Sumit Gulwani, Vu Le, Alan Leung, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari, Abhishek Udupa
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | October 2019
-
FlashExtract: a framework for data extraction by examples
2014 Programming Language Design and Implementation | June 2014
DOI PDF PDF Publication Publication Publication Publication Video Video Project Project Project Project Project
SmartSynth: synthesizing smartphone automation scripts from natural language
Vu Le, Sumit Gulwani, Zhendong Su
MobiSys'13 | June 2013
Publications by Type
-
One-to-many testing for code generation from (just) natural language
Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le
Findings of EMNLP 2024 | September 2024
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages
Avik Dutta, Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
EMNLP 2024 | September 2024
Tabularis Revilio: Converting Text to Tables
Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management | August 2024
Solving Data-centric Tasks using Large Language Models
Shraddha Barke, Christian Poelitz, Carina Negreanu, Ben Zorn, José Cambronero, Andy Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
Annual Conference of the North American Chapter of the Association for Computational Linguistics | June 2024
Semantically Aligned Question and Code Generation for Automated Insight Generation
Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
LLM4Code Workshop at ICSE '24 | April 2024
Best Paper
FLAME: A Small Language Model for Spreadsheet Formulas
Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
AAAI | February 2024
PyDex: Repairing Bugs in Introductory Python Assignments using LLMs
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
Object-oriented Programming, Systems, Languages, and Applications (OOPSLA) | January 2024
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin
Table Representation Learning Workshop at NeurIPS 2023 | December 2023
TSTR: Target Similarity Tuning Meets the Real World
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
Findings of EMNLP 2023 | November 2023
CODEFUSION: A Pre-trained Diffusion Model for Code Generation
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen, Carina Negreanu
EMNLP 2023 | November 2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
50th International Conference on Very Large Data Bases (VLDB 24) | October 2023
EmFore: Online Learning of Email Folder Classification Rules
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management | October 2023
Cornet: Learning Table Formatting Rules By Example
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
49th International Conference on Very Large Data Bases | May 2023
FlashFill++: Scaling Programming by Example by Cutting to the Chase
José Cambronero, Sumit Gulwani, Vu Le, Daniel Perelman, Arjun Radhakrishna, Clint Simon, Ashish Tiwari
Principles of Programming Languages | January 2023
Personalized Action Suggestions in Low-Code Automation Platforms
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
International Conference on Software Engineering (ICSE) 2023 - Industry Track | December 2022
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi, Harshit Joshi, José Cambronero, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari
OOPSLA | December 2022
NL2Viz: Natural Language to Visualization via Constrained Syntax-Guided Synthesis
Zhengkai Wu, Vu Le, Ashish Tiwari, Sumit Gulwani, Arjun Radhakrishna, Ivan Radicek, Gustavo Soares, Xinyu Wang, Zhenwen Li, Tao Xie
FSE | November 2022
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Chris Meek, Sumit Gulwani
ICLR 2022 | April 2022
reCode: A Lightweight Find-and-Replace Interaction in the IDE for Transforming Code by Example
Wode Ni, Joshua Sunshine, Vu Le, Sumit Gulwani, Titus Barik
UIST 2021 | October 2021
Semantic programming by example with pre-trained models
Gust Verbruggen, Vu Le, Sumit Gulwani
OOPSLA | October 2021
Multi-modal Program Inference: a Marriage of Pre-trained Language Models and Component-based Synthesis
Kia Rahmani, Mohammad Raza (moraza), Sumit Gulwani (sumitg), Vu Le (levu), Dan Morris (damorri), Arjun Radhakrishna (arradha), Gustavo Soares (gsoares), Ashish Tiwari (astiwar)
OOPSLA | October 2021
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis
Rangeet Pan, Vu Le, Nachi Nagappan, Sumit Gulwani, Shuvendu Lahiri, Mike Kaufman
2021 IEEE/ACM 43nd International Conference on Software Engineering (ICSE '21) | May 2021
Structure interpretation of text formats
Sumit Gulwani, Vu Le, Arjun Radhakrishna, Ivan Radicek, Mohammad Raza
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | November 2020
DOI PDF Author's Version Publication Publication Publication Video Project Project Project
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction
Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani
International Conference on Pattern Recognition | October 2020
On the fly synthesis of edit suggestions
Anders Miltner, Sumit Gulwani, Vu Le, Alan Leung, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari, Abhishek Udupa
Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) | October 2019
Finding compiler bugs via live code mutation
Chengnian Sun, Vu Le, Zhendong Su
2016 Conference on Object-Oriented Programming Systems, Languages, and Applications | October 2016
Toward understanding compiler bugs in GCC and LLVM
Chengnian Sun, Vu Le, Qirun Zhang, Zhendong Su
2016 International Symposium on Software Testing and Analysis | July 2016
Finding and analyzing compiler warning defects
Chengnian Sun, Vu Le, Zhendong Su
2016 International Conference on Software Engineering | May 2016
Finding deep compiler bugs via guided stochastic program mutation
Vu Le, Chengnian Sun, Zhendong Su
2015 Conference on Object-Oriented Programming Systems, Languages, and Applications | October 2015
Randomized stress-testing of link-time optimizers
Vu Le, Chengnian Sun, Zhendong Su
2015 International Symposium on Software Testing and Analysis | July 2015
Compiler validation via equivalence modulo inputs
Vu Le, Mehrdad Afshari, Zhendong Su
2014 Programming Language Design and Implementation | June 2014
Distinguished Paper Award
FlashExtract: a framework for data extraction by examples
2014 Programming Language Design and Implementation | June 2014
DOI PDF PDF Publication Publication Publication Publication Video Video Project Project Project Project Project
SmartSynth: synthesizing smartphone automation scripts from natural language
Vu Le, Sumit Gulwani, Zhendong Su
MobiSys'13 | June 2013
Automatic detection of floating-point exceptions
Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su
2013 Symposium on Principles of Programming Languages | January 2013
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EmFORE: Learning Email Folder Classification Rules by Demonstration
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
38th Annual AAAI Conference on Artificial Intelligence - Demo Track | March 2024, pp. 23835-23837
Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Preprint | December 2023
DataVinci: Learning Syntactic and Semantic String Repairs
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
Preprint | August 2023
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From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
May 2023
Repairing Bugs in Python Assignments using Large Language Models
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
September 2022
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Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
February 2023
Published by: AAAI | February 2023