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
Gust Verbruggen
Chercheur
Papiers de Collaboration
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Execution-guided within-prompt search for programming-by-example
Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
ICLR 2025 | April 2025
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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
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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
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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
-
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
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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
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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
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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
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Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Preprint | December 2023
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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
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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
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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
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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
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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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Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example
Mukul Singh, José Cambronero, Carina Negreanu, Sumit Gulwani, Gust Verbruggen
49th International Conference on Very Large Data Bases - Demo Track | August 2023
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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
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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
Publié par : AAAI | February 2023
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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
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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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-
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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
-
Execution-guided within-prompt search for programming-by-example
Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
ICLR 2025 | April 2025
-
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
-
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
-
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
-
Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example
Mukul Singh, José Cambronero, Carina Negreanu, Sumit Gulwani, Gust Verbruggen
49th International Conference on Very Large Data Bases - Demo Track | 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
-
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
-
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
-
-
-
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
-
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
-
Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example
Mukul Singh, José Cambronero, Carina Negreanu, Sumit Gulwani, Gust Verbruggen
49th International Conference on Very Large Data Bases - Demo Track | 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 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
-
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
-
Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example
Mukul Singh, José Cambronero, Carina Negreanu, Sumit Gulwani, Gust Verbruggen
49th International Conference on Very Large Data Bases - Demo Track | 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
-
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
-
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
-
-
-
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
-
Execution-guided within-prompt search for programming-by-example
Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
ICLR 2025 | April 2025
-
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
-
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
-
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
-
Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example
Mukul Singh, José Cambronero, Carina Negreanu, Sumit Gulwani, Gust Verbruggen
49th International Conference on Very Large Data Bases - Demo Track | 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
-
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
-
-
-
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
-
-
-
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
-
-
-
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
-