Vu Le

Directeur principal de la recherche

Papiers de Collaboration

Afficher par:

- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- Execution-guided within-prompt search for programming-by-example
  
  Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
  
  ICLR 2025 | April 2025
  
  Publication
- TeCoFeS: Text Column Featurization using Semantic Analysis
  
  Ananya Singha, Mukul Singh, Ashish Tiwari, Sumit Gulwani, Vu Le, Chris Parnin
  
  NAACL 2025 | April 2025
  
  Publication
- TableTalk: Scaffolding Spreadsheet Development with a Language Agent
  
  Jenny T. Liang, Aayush Kumar, Yasharth Bajpai, Sumit Gulwani, Vu Le, Chris Parnin, Arjun Radhakrishna, Ashish Tiwari, Emerson Murphy-Hill, Gustavo Soares
  
  ArXiv | February 2025, Vol abs/2502.09787
  
  DOI Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- 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
  
  Publication
- 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
  
  Publication
- Assessing GPT4-V on Structured Reasoning Tasks
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
  
  Preprint | December 2023
  
  Publication Preprint
- 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
  
  Publication Publication
- 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
  
  Publication Vidéo
- 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
  
  Publication Vidéo
- 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
  
  Publication DOI Vidéo
- 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
  
  Publication
- DataVinci: Learning Syntactic and Semantic String Repairs
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
  
  Preprint | August 2023
  
  Publication Preprint
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  Publié par : AAAI | February 2023
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication DOI
- 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
  
  PDF
- 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
  
  Publication
- 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
  
  Publication PDF Projet
- 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
  
  Publication
- 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
  
  Publication
- Semantic programming by example with pre-trained models
  
  Gust Verbruggen, Vu Le, Sumit Gulwani
  
  OOPSLA | October 2021
  
  Publication Projet
- 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
  
  Publication Projet
- 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 Vidéo Projet Projet Projet
- 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
  
  PDF Publication Projet Projet
- 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
  
  PDF DOI Vidéo Projet Projet
- 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
  
  DOI PDF Publication Publication Publication
- 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
  
  DOI Publication Publication Publication
- Finding and analyzing compiler warning defects
  
  Chengnian Sun, Vu Le, Zhendong Su
  
  2016 International Conference on Software Engineering | May 2016
  
  DOI Publication Publication Publication
- 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
  
  DOI PDF Publication Publication Publication
- Randomized stress-testing of link-time optimizers
  
  Vu Le, Chengnian Sun, Zhendong Su
  
  2015 International Symposium on Software Testing and Analysis | July 2015
  
  DOI PDF PDF Publication Publication
- Compiler validation via equivalence modulo inputs
  
  Vu Le, Mehrdad Afshari, Zhendong Su
  
  2014 Programming Language Design and Implementation | June 2014
  
  Distinguished Paper Award
  
  DOI PDF PDF PDF Publication Publication
- FlashExtract: a framework for data extraction by examples
  
  Vu Le, Sumit Gulwani
  
  2014 Programming Language Design and Implementation | June 2014
  
  DOI PDF PDF Publication Publication Publication Publication Vidéo Vidéo Projet Projet Projet Projet Projet
- SmartSynth: synthesizing smartphone automation scripts from natural language
  
  Vu Le, Sumit Gulwani, Zhendong Su
  
  MobiSys'13 | June 2013
  
  PDF DOI Vidéo Projet
- Automatic detection of floating-point exceptions
  
  Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su
  
  2013 Symposium on Principles of Programming Languages | January 2013
  
  DOI PDF PDF Publication Publication Publication

- TeCoFeS: Text Column Featurization using Semantic Analysis
  
  Ananya Singha, Mukul Singh, Ashish Tiwari, Sumit Gulwani, Vu Le, Chris Parnin
  
  NAACL 2025 | April 2025
  
  Publication
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- Execution-guided within-prompt search for programming-by-example
  
  Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
  
  ICLR 2025 | April 2025
  
  Publication
- TableTalk: Scaffolding Spreadsheet Development with a Language Agent
  
  Jenny T. Liang, Aayush Kumar, Yasharth Bajpai, Sumit Gulwani, Vu Le, Chris Parnin, Arjun Radhakrishna, Ashish Tiwari, Emerson Murphy-Hill, Gustavo Soares
  
  ArXiv | February 2025, Vol abs/2502.09787
  
  DOI Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- 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
  
  Publication
- 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
  
  Publication
- Assessing GPT4-V on Structured Reasoning Tasks
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
  
  Preprint | December 2023
  
  Publication Preprint
- 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
  
  Publication Publication
- 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
  
  Publication Vidéo
- 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
  
  Publication Vidéo
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- DataVinci: Learning Syntactic and Semantic String Repairs
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
  
  Preprint | August 2023
  
  Publication Preprint
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  Publié par : AAAI | February 2023
  
  Publication
- 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
  
  Publication DOI
- 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
  
  Publication
- 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
  
  Publication PDF Projet
- 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
  
  Publication
- 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
  
  PDF Publication Projet Projet
- 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
  
  PDF DOI Vidéo Projet Projet
- TeCoFeS: Text Column Featurization using Semantic Analysis
  
  Ananya Singha, Mukul Singh, Ashish Tiwari, Sumit Gulwani, Vu Le, Chris Parnin
  
  NAACL 2025 | April 2025
  
  Publication
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- TableTalk: Scaffolding Spreadsheet Development with a Language Agent
  
  Jenny T. Liang, Aayush Kumar, Yasharth Bajpai, Sumit Gulwani, Vu Le, Chris Parnin, Arjun Radhakrishna, Ashish Tiwari, Emerson Murphy-Hill, Gustavo Soares
  
  ArXiv | February 2025, Vol abs/2502.09787
  
  DOI Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- Assessing GPT4-V on Structured Reasoning Tasks
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
  
  Preprint | December 2023
  
  Publication Preprint
- 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
  
  Publication
- DataVinci: Learning Syntactic and Semantic String Repairs
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
  
  Preprint | August 2023
  
  Publication Preprint
- 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
  
  Publication DOI Vidéo
- 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
  
  PDF Publication Projet Projet
- TableTalk: Scaffolding Spreadsheet Development with a Language Agent
  
  Jenny T. Liang, Aayush Kumar, Yasharth Bajpai, Sumit Gulwani, Vu Le, Chris Parnin, Arjun Radhakrishna, Ashish Tiwari, Emerson Murphy-Hill, Gustavo Soares
  
  ArXiv | February 2025, Vol abs/2502.09787
  
  DOI Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- 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
  
  Publication
- 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
  
  PDF DOI Vidéo Projet Projet
- TeCoFeS: Text Column Featurization using Semantic Analysis
  
  Ananya Singha, Mukul Singh, Ashish Tiwari, Sumit Gulwani, Vu Le, Chris Parnin
  
  NAACL 2025 | April 2025
  
  Publication
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- 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
  
  Publication
- Assessing GPT4-V on Structured Reasoning Tasks
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
  
  Preprint | December 2023
  
  Publication Preprint
- 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
  
  Publication Vidéo
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- DataVinci: Learning Syntactic and Semantic String Repairs
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
  
  Preprint | August 2023
  
  Publication Preprint
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  Publié par : AAAI | February 2023
  
  Publication
- 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
  
  Publication
- 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
  
  Publication DOI
- 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
  
  Publication
- 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
  
  PDF
- 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
  
  Publication
- Semantic programming by example with pre-trained models
  
  Gust Verbruggen, Vu Le, Sumit Gulwani
  
  OOPSLA | October 2021
  
  Publication Projet
- 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
  
  Publication
- 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
  
  Publication Projet
- 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 Vidéo Projet Projet Projet
- 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
  
  PDF Publication Projet Projet
- 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
  
  PDF DOI Vidéo Projet Projet
- 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
  
  DOI PDF Publication Publication Publication
- 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
  
  DOI Publication Publication Publication
- Finding and analyzing compiler warning defects
  
  Chengnian Sun, Vu Le, Zhendong Su
  
  2016 International Conference on Software Engineering | May 2016
  
  DOI Publication Publication Publication
- 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
  
  DOI PDF Publication Publication Publication
- Randomized stress-testing of link-time optimizers
  
  Vu Le, Chengnian Sun, Zhendong Su
  
  2015 International Symposium on Software Testing and Analysis | July 2015
  
  DOI PDF PDF Publication Publication
- Compiler validation via equivalence modulo inputs
  
  Vu Le, Mehrdad Afshari, Zhendong Su
  
  2014 Programming Language Design and Implementation | June 2014
  
  Distinguished Paper Award
  
  DOI PDF PDF PDF Publication Publication
- SmartSynth: synthesizing smartphone automation scripts from natural language
  
  Vu Le, Sumit Gulwani, Zhendong Su
  
  MobiSys'13 | June 2013
  
  PDF DOI Vidéo Projet
- Automatic detection of floating-point exceptions
  
  Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su
  
  2013 Symposium on Principles of Programming Languages | January 2013
  
  DOI PDF PDF Publication Publication Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- FlashExtract: a framework for data extraction by examples
  
  Vu Le, Sumit Gulwani
  
  2014 Programming Language Design and Implementation | June 2014
  
  DOI PDF PDF Publication Publication Publication Publication Vidéo Vidéo Projet Projet Projet Projet Projet
- SmartSynth: synthesizing smartphone automation scripts from natural language
  
  Vu Le, Sumit Gulwani, Zhendong Su
  
  MobiSys'13 | June 2013
  
  PDF DOI Vidéo Projet

- TableTalk: Scaffolding Spreadsheet Development with a Language Agent
  
  Jenny T. Liang, Aayush Kumar, Yasharth Bajpai, Sumit Gulwani, Vu Le, Chris Parnin, Arjun Radhakrishna, Ashish Tiwari, Emerson Murphy-Hill, Gustavo Soares
  
  ArXiv | February 2025, Vol abs/2502.09787
  
  DOI Publication
- 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
  
  Publication DOI Vidéo
- Assessing GPT4-V on Structured Reasoning Tasks
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
  
  Preprint | December 2023
  
  Publication Preprint
- DataVinci: Learning Syntactic and Semantic String Repairs
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
  
  Preprint | August 2023
  
  Publication Preprint
- TeCoFeS: Text Column Featurization using Semantic Analysis
  
  Ananya Singha, Mukul Singh, Ashish Tiwari, Sumit Gulwani, Vu Le, Chris Parnin
  
  NAACL 2025 | April 2025
  
  Publication
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- Execution-guided within-prompt search for programming-by-example
  
  Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
  
  ICLR 2025 | April 2025
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication Vidéo
- 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
  
  Publication Vidéo
- 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
  
  Publication
- 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
  
  Publication DOI Vidéo
- 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
  
  Publication DOI Vidéo
- 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
  
  Publication
- 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
  
  Publication DOI
- 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
  
  Publication
- 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
  
  PDF
- 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
  
  Publication PDF Projet
- 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
  
  Publication
- Semantic programming by example with pre-trained models
  
  Gust Verbruggen, Vu Le, Sumit Gulwani
  
  OOPSLA | October 2021
  
  Publication Projet
- 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
  
  Publication
- 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
  
  Publication Projet
- 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 Vidéo Projet Projet Projet
- 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
  
  PDF Publication Projet Projet
- 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
  
  PDF DOI Vidéo Projet Projet
- 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
  
  DOI PDF Publication Publication Publication
- 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
  
  DOI Publication Publication Publication
- Finding and analyzing compiler warning defects
  
  Chengnian Sun, Vu Le, Zhendong Su
  
  2016 International Conference on Software Engineering | May 2016
  
  DOI Publication Publication Publication
- 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
  
  DOI PDF Publication Publication Publication
- Randomized stress-testing of link-time optimizers
  
  Vu Le, Chengnian Sun, Zhendong Su
  
  2015 International Symposium on Software Testing and Analysis | July 2015
  
  DOI PDF PDF Publication Publication
- Compiler validation via equivalence modulo inputs
  
  Vu Le, Mehrdad Afshari, Zhendong Su
  
  2014 Programming Language Design and Implementation | June 2014
  
  Distinguished Paper Award
  
  DOI PDF PDF PDF Publication Publication
- FlashExtract: a framework for data extraction by examples
  
  Vu Le, Sumit Gulwani
  
  2014 Programming Language Design and Implementation | June 2014
  
  DOI PDF PDF Publication Publication Publication Publication Vidéo Vidéo Projet Projet Projet Projet Projet
- SmartSynth: synthesizing smartphone automation scripts from natural language
  
  Vu Le, Sumit Gulwani, Zhendong Su
  
  MobiSys'13 | June 2013
  
  PDF DOI Vidéo Projet
- Automatic detection of floating-point exceptions
  
  Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su
  
  2013 Symposium on Principles of Programming Languages | January 2013
  
  DOI PDF PDF Publication Publication Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- 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
  
  Publication
- 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
  
  Publication
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  Publié par : AAAI | February 2023
  
  Publication