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ORCIDGust Verbruggen
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- affiliation: Microsoft, Keerbergen, Belgium
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2020 – today
- 2024
[j5]Jialu Zhang
, José Pablo Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen:
PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. Proc. ACM Program. Lang. 8(OOPSLA1): 1100-1124 (2024)- [c20]Harshit Joshi, Abishai Ebenezer, José Pablo Cambronero Sánchez, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen:
FLAME: A Small Language Model for Spreadsheet Formulas. AAAI 2024: 12995-13003 - [c19]Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani:
EmFORE: Learning Email Folder Classification Rules by Demonstration. AAAI 2024: 23835-23837 - [c18]Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani:
Tabularis Revilio: Converting Text to Tables. CIKM 2024: 4056-4060 - [c17]Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le:
One-to-many testing for code generation from (just) natural language. EMNLP (Findings) 2024: 15397-15402 - [c16]Avik Dutta, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le:
RAR: Retrieval-augmented retrieval for code generation in low resource languages. EMNLP 2024: 21506-21515 - [c15]Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen:
Semantically Aligned Question and Code Generation for Automated Insight Generation. LLM4CODE@ICSE 2024: 127-134 - [i12]Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen:
Semantically Aligned Question and Code Generation for Automated Insight Generation. CoRR abs/2405.01556 (2024) - [i11]Usneek Singh, José Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen:
An Empirical Study of Validating Synthetic Data for Formula Generation. CoRR abs/2407.10657 (2024) - 2023
- [j4]Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen:
CORNET: Learning Table Formatting Rules By Example. Proc. VLDB Endow. 16(10): 2632-2644 (2023) - [j3]Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen:
CORNET: Learning Spreadsheet Formatting Rules By Example. Proc. VLDB Endow. 16(12): 4058-4061 (2023) - [j2]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen:
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. Proc. VLDB Endow. 17(3): 497-510 (2023) - [c14]Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek:
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. AAAI 2023: 5131-5140 - [c13]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
EmFore: Online Learning of Email Folder Classification Rules. CIKM 2023: 2280-2290 - [c12]Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Mukul Singh, Ananya Singha, Gust Verbruggen:
TSTR: Target Similarity Tuning Meets the Real World. EMNLP (Findings) 2023: 10256-10261 - [c11]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen:
CodeFusion: A Pre-trained Diffusion Model for Code Generation. EMNLP 2023: 11697-11708 - [c10]Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le:
Personalized action suggestions in low-code automation platforms. ICSE Companion 2023: 346-350 - [i10]Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen:
FLAME: A small language model for spreadsheet formulas. CoRR abs/2301.13779 (2023) - [i9]Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le:
Personalized action suggestions in low-code automation platforms. CoRR abs/2305.10530 (2023) - [i8]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen:
Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example. CoRR abs/2308.07357 (2023) - [i7]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen:
DataVinci: Learning Syntactic and Semantic String Repairs. CoRR abs/2308.10922 (2023) - [i6]Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen:
TSTR: Target Similarity Tuning Meets the Real World. CoRR abs/2310.17228 (2023) - [i5]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
Assessing GPT4-V on Structured Reasoning Tasks. CoRR abs/2312.11524 (2023) - 2022
- [p1]Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt:
Human-Machine Collaboration for Democratizing Data Science. Human-Like Machine Intelligence 2022: 379-402 - [i4]Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen:
CORNET: A neurosymbolic approach to learning conditional table formatting rules by example. CoRR abs/2208.06032 (2022) - [i3]Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen:
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. CoRR abs/2208.11640 (2022) - [i2]Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen:
Repairing Bugs in Python Assignments Using Large Language Models. CoRR abs/2209.14876 (2022) - 2021
- [j1]Gust Verbruggen, Vu Le, Sumit Gulwani:
Semantic programming by example with pre-trained models. Proc. ACM Program. Lang. 5(OOPSLA): 1-25 (2021) - [c9]Sieben Bocklandt, Gust Verbruggen, Thomas Winters:
SandSlide: Automatic Slideshow Normalization. ICDAR (2) 2021: 445-461 - [c8]Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt:
avatar - Automated Feature Wrangling for Machine Learning. IDA 2021: 235-247 - [c7]Gust Verbruggen, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt:
Muppets: Multipurpose Table Segmentation. IDA 2021: 389-401 - 2020
- [c6]Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt:
VisualSynth: Democratizing Data Science in Spreadsheets. ECML/PKDD (5) 2020: 550-554 - [i1]Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt:
Human-Machine Collaboration for Democratizing Data Science. CoRR abs/2004.11113 (2020)
2010 – 2019
- 2019
- [c5]Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt:
SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). PKDD/ECML Workshops (1) 2019: 102-110 - 2018
- [c4]Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis:
Semi-Supervised Anomaly Detection with an Application to Water Analytics. ICDM 2018: 527-536 - [c3]Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen:
Elements of an Automatic Data Scientist. IDA 2018: 3-14 - [c2]Gust Verbruggen, Luc De Raedt:
Automatically Wrangling Spreadsheets into Machine Learning Data Formats. IDA 2018: 367-379 - 2017
- [c1]Gust Verbruggen, Luc De Raedt:
Towards Automated Relational Data Wrangling. AutoML@PKDD/ECML 2017: 12-20
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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