Mukul Singh

Researcher

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Publications

Afficher par:

- Adapting Language Models for Low-Resource Programming Languages
  
  Mukul Singh, Hosein Hasanbeig, Ananya Singha, Arjun Radhakrishna, Sumit Gulwani
  
  NeurIPS DL4Code 2025 | December 2025
  
  Publication Publication
- Ordered Semantically Diverse Sampling for Textual Data
  
  Ashish Tiwari, Mukul Singh, Ananya Singha, Arjun Radhakrishna
  
  NeurIPS FPI 2025 | December 2025
  
  DOI Publication Publication
- Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning
  
  Mukul Singh, Ananya Singha, Arjun Radhakrishna, Sumit Gulwani
  
  November 2025
  
  Publication
- Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
  
  Mukul Singh, Ananya Singha, Aishni Parab, Pronita Mehrotra, Sumit Gulwani
  
  November 2025
  
  Publication
- Do Code Models Suffer from the Dunning-Kruger Effect?
  
  Mukul Singh, Somya Chatterjee, Arjun Radhakrishna, Sumit Gulwani
  
  ArXiv | October 2025, Vol abs/2510.05457
  
  DOI Publication Publication
- Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
  
  Mukul Singh, Arjun Radhakrishna, Sumit Gulwani
  
  September 2025
  
  Publication
- Diffusion is a code repair operator and generator
  
  Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani
  
  ArXiv | August 2025, Vol abs/2508.11110
  
  DOI Publication 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
- TeCoFeS: Text Column Featurization using Semantic Analysis
  
  Ananya Singha, Mukul Singh, Ashish Tiwari, Sumit Gulwani, Vu Le, Chris Parnin
  
  NAACL 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 Vidéo
- 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 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
- 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 Vidéo
- 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
- 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
- Multi-objective Genetic Algorithm Based Deep Learning Model for Automated COVID-19 Detection Using Medical Image Data.
  
  Mukul Singh, Shrey Bansal, Rahul Kumar Dubey, Bijaya Ketan Panigrahi
  
  Journal of Medical and Biological Engineering | September 2021, Vol 41(5): pp. 1-12
  
  DOI PDF Publication Projet
- Deep Learning Model Based CO2 Emissions Prediction using Vehicle Telematics Sensors Data
  
  Mukul Singh, Rahul Kumar Dubey
  
  IEEE Transactions on Intelligent Transportation Systems | August 2021
  
  DOI Publication
- Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.
  
  Mukul Singh, Shrey Bansal, Sakshi Ahuja, Rahul Kumar Dubey, Bijaya Ketan Panigrahi, Nilanjan Dey
  
  Medical & Biological Engineering & Computing | December 2020, Vol 59(4): pp. 825-839
  
  DOI PDF Publication Projet

- Adapting Language Models for Low-Resource Programming Languages
  
  Mukul Singh, Hosein Hasanbeig, Ananya Singha, Arjun Radhakrishna, Sumit Gulwani
  
  NeurIPS DL4Code 2025 | December 2025
  
  Publication Publication
- Ordered Semantically Diverse Sampling for Textual Data
  
  Ashish Tiwari, Mukul Singh, Ananya Singha, Arjun Radhakrishna
  
  NeurIPS FPI 2025 | December 2025
  
  DOI Publication Publication
- Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
  
  Mukul Singh, Ananya Singha, Aishni Parab, Pronita Mehrotra, Sumit Gulwani
  
  November 2025
  
  Publication
- Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning
  
  Mukul Singh, Ananya Singha, Arjun Radhakrishna, Sumit Gulwani
  
  November 2025
  
  Publication
- Do Code Models Suffer from the Dunning-Kruger Effect?
  
  Mukul Singh, Somya Chatterjee, Arjun Radhakrishna, Sumit Gulwani
  
  ArXiv | October 2025, Vol abs/2510.05457
  
  DOI Publication Publication
- Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
  
  Mukul Singh, Arjun Radhakrishna, Sumit Gulwani
  
  September 2025
  
  Publication
- Diffusion is a code repair operator and generator
  
  Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani
  
  ArXiv | August 2025, Vol abs/2508.11110
  
  DOI 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
- 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 Vidéo
- 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
- 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
- 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 Vidéo
- 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
- 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
- Multi-objective Genetic Algorithm Based Deep Learning Model for Automated COVID-19 Detection Using Medical Image Data.
  
  Mukul Singh, Shrey Bansal, Rahul Kumar Dubey, Bijaya Ketan Panigrahi
  
  Journal of Medical and Biological Engineering | September 2021, Vol 41(5): pp. 1-12
  
  DOI PDF Publication Projet
- Deep Learning Model Based CO2 Emissions Prediction using Vehicle Telematics Sensors Data
  
  Mukul Singh, Rahul Kumar Dubey
  
  IEEE Transactions on Intelligent Transportation Systems | August 2021
  
  DOI Publication
- Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.
  
  Mukul Singh, Shrey Bansal, Sakshi Ahuja, Rahul Kumar Dubey, Bijaya Ketan Panigrahi, Nilanjan Dey
  
  Medical & Biological Engineering & Computing | December 2020, Vol 59(4): pp. 825-839
  
  DOI PDF Publication Projet
- Do Code Models Suffer from the Dunning-Kruger Effect?
  
  Mukul Singh, Somya Chatterjee, Arjun Radhakrishna, Sumit Gulwani
  
  ArXiv | October 2025, Vol abs/2510.05457
  
  DOI Publication Publication
- Diffusion is a code repair operator and generator
  
  Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani
  
  ArXiv | August 2025, Vol abs/2508.11110
  
  DOI Publication Publication
- Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
  
  Mukul Singh, Ananya Singha, Aishni Parab, Pronita Mehrotra, Sumit Gulwani
  
  November 2025
  
  Publication
- Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning
  
  Mukul Singh, Ananya Singha, Arjun Radhakrishna, Sumit Gulwani
  
  November 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
- 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 Vidéo
- 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
- 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 Vidéo
- 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
- 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
- Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
  
  Mukul Singh, Arjun Radhakrishna, Sumit Gulwani
  
  September 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
- 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 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
- 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 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

- Do Code Models Suffer from the Dunning-Kruger Effect?
  
  Mukul Singh, Somya Chatterjee, Arjun Radhakrishna, Sumit Gulwani
  
  ArXiv | October 2025, Vol abs/2510.05457
  
  DOI Publication Publication
- Diffusion is a code repair operator and generator
  
  Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani
  
  ArXiv | August 2025, Vol abs/2508.11110
  
  DOI Publication 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
- Multi-objective Genetic Algorithm Based Deep Learning Model for Automated COVID-19 Detection Using Medical Image Data.
  
  Mukul Singh, Shrey Bansal, Rahul Kumar Dubey, Bijaya Ketan Panigrahi
  
  Journal of Medical and Biological Engineering | September 2021, Vol 41(5): pp. 1-12
  
  DOI PDF Publication Projet
- Deep Learning Model Based CO2 Emissions Prediction using Vehicle Telematics Sensors Data
  
  Mukul Singh, Rahul Kumar Dubey
  
  IEEE Transactions on Intelligent Transportation Systems | August 2021
  
  DOI Publication
- Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.
  
  Mukul Singh, Shrey Bansal, Sakshi Ahuja, Rahul Kumar Dubey, Bijaya Ketan Panigrahi, Nilanjan Dey
  
  Medical & Biological Engineering & Computing | December 2020, Vol 59(4): pp. 825-839
  
  DOI PDF Publication Projet
- Adapting Language Models for Low-Resource Programming Languages
  
  Mukul Singh, Hosein Hasanbeig, Ananya Singha, Arjun Radhakrishna, Sumit Gulwani
  
  NeurIPS DL4Code 2025 | December 2025
  
  Publication Publication
- Ordered Semantically Diverse Sampling for Textual Data
  
  Ashish Tiwari, Mukul Singh, Ananya Singha, Arjun Radhakrishna
  
  NeurIPS FPI 2025 | December 2025
  
  DOI 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
- 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
- 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
- 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 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
- 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
- Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
  
  Mukul Singh, Ananya Singha, Aishni Parab, Pronita Mehrotra, Sumit Gulwani
  
  November 2025
  
  Publication
- Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning
  
  Mukul Singh, Ananya Singha, Arjun Radhakrishna, Sumit Gulwani
  
  November 2025
  
  Publication
- Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
  
  Mukul Singh, Arjun Radhakrishna, Sumit Gulwani
  
  September 2025
  
  Publication
- 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

Mukul Singh

Publications

Adapting Language Models for Low-Resource Programming Languages

Ordered Semantically Diverse Sampling for Textual Data

Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning

Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models

Do Code Models Suffer from the Dunning-Kruger Effect?

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory

Diffusion is a code repair operator and generator

An Empirical Study of Validating Synthetic Data for Formula Generation

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

TeCoFeS: Text Column Featurization using Semantic Analysis

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

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

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Cornet: Learning Table Formatting Rules By Example

Personalized Action Suggestions in Low-Code Automation Platforms

Multi-objective Genetic Algorithm Based Deep Learning Model for Automated COVID-19 Detection Using Medical Image Data.

Deep Learning Model Based CO2 Emissions Prediction using Vehicle Telematics Sensors Data

Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.

Adapting Language Models for Low-Resource Programming Languages

Ordered Semantically Diverse Sampling for Textual Data

Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models

Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning

Do Code Models Suffer from the Dunning-Kruger Effect?

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory

Diffusion is a code repair operator and generator

TeCoFeS: Text Column Featurization using Semantic Analysis

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

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

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Cornet: Learning Table Formatting Rules By Example

Personalized Action Suggestions in Low-Code Automation Platforms

Multi-objective Genetic Algorithm Based Deep Learning Model for Automated COVID-19 Detection Using Medical Image Data.

Deep Learning Model Based CO2 Emissions Prediction using Vehicle Telematics Sensors Data

Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.

Do Code Models Suffer from the Dunning-Kruger Effect?

Diffusion is a code repair operator and generator

Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models

Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning

TeCoFeS: Text Column Featurization using Semantic Analysis

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

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

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Cornet: Learning Table Formatting Rules By Example

Personalized Action Suggestions in Low-Code Automation Platforms

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory

TeCoFeS: Text Column Featurization using Semantic Analysis

An Empirical Study of Validating Synthetic Data for Formula Generation