Gust Verbruggen

Researcher

论文与出版物

查看方式：

- 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
- 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 视频
- 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
- 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 视频
- 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 视频
- 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 视频
- 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
- 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
  
  Publication DOI 视频
- 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 视频
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  发布者： 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

- 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
- 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 视频
- 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
- 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 视频
- 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 视频
- 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 视频
- DataVinci: Learning Syntactic and Semantic String Repairs
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
  
  Preprint | August 2023
  
  Publication Preprint
- 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
  
  Publication DOI 视频
- 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 视频
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  发布者： 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
- 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
- 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 视频
- 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
- 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
  
  Publication DOI 视频
- 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 视频
- 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
- 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 视频
- 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 视频
- 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 视频
- DataVinci: Learning Syntactic and Semantic String Repairs
  
  Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
  
  Preprint | August 2023
  
  Publication Preprint
- 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
  
  Publication DOI 视频
- 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 视频
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  发布者： 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

- 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
- 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
- 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 视频
- 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 视频
- 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 视频
- 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
  
  Publication DOI 视频
- 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 视频
- 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
- 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 视频
- 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
- Repair Is Nearly Generation: Multilingual Program Repair with LLMs
  
  Harshit Joshi, José Cambronero, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
  
  February 2023
  
  发布者： AAAI | February 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

Gust Verbruggen

论文与出版物

An Empirical Study of Validating Synthetic Data for Formula Generation

Execution-guided within-prompt search for programming-by-example

One-to-many testing for code generation from (just) natural language

RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages

Tabularis Revilio: Converting Text to Tables

Semantically Aligned Question and Code Generation for Automated Insight Generation

EmFORE: Learning Email Folder Classification Rules by Demonstration

FLAME: A Small Language Model for Spreadsheet Formulas

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs

Assessing GPT4-V on Structured Reasoning Tasks

CODEFUSION: A Pre-trained Diffusion Model for Code Generation

TSTR: Target Similarity Tuning Meets the Real World

EmFore: Online Learning of Email Folder Classification Rules

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language

DataVinci: Learning Syntactic and Semantic String Repairs

Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example

Cornet: Learning Table Formatting Rules By Example

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

Personalized Action Suggestions in Low-Code Automation Platforms

Repairing Bugs in Python Assignments using Large Language Models

An Empirical Study of Validating Synthetic Data for Formula Generation

Execution-guided within-prompt search for programming-by-example

One-to-many testing for code generation from (just) natural language

RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages

Tabularis Revilio: Converting Text to Tables

Semantically Aligned Question and Code Generation for Automated Insight Generation

EmFORE: Learning Email Folder Classification Rules by Demonstration

FLAME: A Small Language Model for Spreadsheet Formulas

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs

Assessing GPT4-V on Structured Reasoning Tasks

TSTR: Target Similarity Tuning Meets the Real World

CODEFUSION: A Pre-trained Diffusion Model for Code Generation

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language

EmFore: Online Learning of Email Folder Classification Rules

DataVinci: Learning Syntactic and Semantic String Repairs

Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example

Cornet: Learning Table Formatting Rules By Example

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

Personalized Action Suggestions in Low-Code Automation Platforms

Repairing Bugs in Python Assignments using Large Language Models

An Empirical Study of Validating Synthetic Data for Formula Generation

One-to-many testing for code generation from (just) natural language

RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages

Tabularis Revilio: Converting Text to Tables

EmFORE: Learning Email Folder Classification Rules by Demonstration

Assessing GPT4-V on Structured Reasoning Tasks

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language

DataVinci: Learning Syntactic and Semantic String Repairs

Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example

Cornet: Learning Table Formatting Rules By Example

An Empirical Study of Validating Synthetic Data for Formula Generation

One-to-many testing for code generation from (just) natural language

RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages

Tabularis Revilio: Converting Text to Tables

EmFORE: Learning Email Folder Classification Rules by Demonstration

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs

Assessing GPT4-V on Structured Reasoning Tasks

TSTR: Target Similarity Tuning Meets the Real World

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language

EmFore: Online Learning of Email Folder Classification Rules

DataVinci: Learning Syntactic and Semantic String Repairs

Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example

Cornet: Learning Table Formatting Rules By Example

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

Personalized Action Suggestions in Low-Code Automation Platforms

Repairing Bugs in Python Assignments using Large Language Models

An Empirical Study of Validating Synthetic Data for Formula Generation

Execution-guided within-prompt search for programming-by-example

One-to-many testing for code generation from (just) natural language

RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages

Tabularis Revilio: Converting Text to Tables

Semantically Aligned Question and Code Generation for Automated Insight Generation

FLAME: A Small Language Model for Spreadsheet Formulas

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs

TSTR: Target Similarity Tuning Meets the Real World

CODEFUSION: A Pre-trained Diffusion Model for Code Generation

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language

EmFore: Online Learning of Email Folder Classification Rules