Gust Verbruggen

43 papers A* 7A 1B 4Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An empirical study of validating synthetic data for formula generation. NAACL (Findings) Usneek Singh, José Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
2025	J	`jnl`	DataVinci: Learning Syntactic and Semantic String Repairs. Proc. ACM Manag. Data Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Arjun Radhakrishna, Gust Verbruggen
2025	J	`jnl`	Diffusion is a code repair operator and generator. CoRR Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani
2025	A*	`conf`	Execution-guided within-prompt search for programming-by-example. ICLR Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
2025	J	`jnl`	LLM-Guided Compositional Program Synthesis. CoRR Ruhma Khan, Sumit Gulwani, Vu Le, Arjun Radhakrishna, Ashish Tiwari, Gust Verbruggen
2025	J	`jnl`	Tabularis Formatus: Predictive Formatting for Tables. CoRR Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
2024	J	`jnl`	An Empirical Study of Validating Synthetic Data for Formula Generation. CoRR Usneek Singh, José Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
2024	A*	`conf`	EmFORE: Learning Email Folder Classification Rules by Demonstration. AAAI Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani
2024	A*	`conf`	FLAME: A Small Language Model for Spreadsheet Formulas. AAAI Harshit Joshi, Abishai Ebenezer, José Pablo Cambronero Sánchez, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
2024	—	`conf`	One-to-many testing for code generation from (just) natural language. EMNLP (Findings) Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le
2024	J	`jnl`	PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. Proc. ACM Program. Lang. Jialu Zhang, José Pablo Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
2024	A*	`conf`	RAR: Retrieval-augmented retrieval for code generation in low resource languages. EMNLP Avik Dutta, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le
2024	—	`conf`	Semantically Aligned Question and Code Generation for Automated Insight Generation. LLM4CODE@ICSE Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
2024	J	`jnl`	Semantically Aligned Question and Code Generation for Automated Insight Generation. CoRR Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
2023	J	`jnl`	Assessing GPT4-V on Structured Reasoning Tasks. CoRR Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
2023	J	`jnl`	CORNET: Learning Spreadsheet Formatting Rules By Example. Proc. VLDB Endow. Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
2023	J	`jnl`	CORNET: Learning Table Formatting Rules By Example. Proc. VLDB Endow. Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
2023	A*	`conf`	CodeFusion: A Pre-trained Diffusion Model for Code Generation. EMNLP Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
2023	J	`jnl`	DataVinci: Learning Syntactic and Semantic String Repairs. CoRR Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
2023	J	`jnl`	Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example. CoRR Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
2023	A	`conf`	EmFore: Online Learning of Email Folder Classification Rules. CIKM Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
2023	J	`jnl`	FLAME: A small language model for spreadsheet formulas. CoRR Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
2023	J	`jnl`	FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. Proc. VLDB Endow. Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
2023	—	`conf`	Personalized action suggestions in low-code automation platforms. ICSE Companion Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
2023	J	`jnl`	Personalized action suggestions in low-code automation platforms. CoRR Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
2023	A*	`conf`	Repair Is Nearly Generation: Multilingual Program Repair with LLMs. AAAI Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek
2023	J	`jnl`	TST CoRR Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
2023	—	`conf`	TSTR: Target Similarity Tuning Meets the Real World. EMNLP (Findings) Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Mukul Singh, Ananya Singha, Gust Verbruggen
2022	J	`jnl`	CORNET: A neurosymbolic approach to learning conditional table formatting rules by example. CoRR Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
2022	—	`ch.`	Human-Machine Collaboration for Democratizing Data Science. Human-Like Machine Intelligence Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
2022	J	`jnl`	Repair Is Nearly Generation: Multilingual Program Repair with LLMs. CoRR Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
2022	J	`jnl`	Repairing Bugs in Python Assignments Using Large Language Models. CoRR Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
2021	B	`conf`	Muppets: Multipurpose Table Segmentation. IDA Gust Verbruggen, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt
2021	—	`conf`	SandSlide: Automatic Slideshow Normalization. ICDAR (2) Sieben Bocklandt, Gust Verbruggen, Thomas Winters
2021	J	`jnl`	Semantic programming by example with pre-trained models. Proc. ACM Program. Lang. Gust Verbruggen, Vu Le, Sumit Gulwani
2021	B	`conf`	avatar - Automated Feature Wrangling for Machine Learning. IDA Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt
2020	J	`jnl`	Human-Machine Collaboration for Democratizing Data Science. CoRR Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
2020	—	`conf`	VisualSynth: Democratizing Data Science in Spreadsheets. ECML/PKDD (5) Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
2019	—	`conf`	SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). PKDD/ECML Workshops (1) Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
2018	B	`conf`	Automatically Wrangling Spreadsheets into Machine Learning Data Formats. IDA Gust Verbruggen, Luc De Raedt
2018	B	`conf`	Elements of an Automatic Data Scientist. IDA Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
2018	A*	`conf`	Semi-Supervised Anomaly Detection with an Application to Water Analytics. ICDM Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis
2017	—	`conf`	Towards Automated Relational Data Wrangling. AutoML@PKDD/ECML Gust Verbruggen, Luc De Raedt