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08/21/2023
DataVinci: Learning Syntactic and Semantic String Repairs
String data is common in real-world datasets: 67.6 1.8 million real Exce...
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08/14/2023
Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example
Data management and analysis tasks are often carried out using spreadshe...
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07/12/2023
Efficiently-Verifiable Strong Uniquely Solvable Puzzles and Matrix Multiplication
We advance the Cohn-Umans framework for developing fast matrix multiplic...
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05/17/2023
Personalized action suggestions in low-code automation platforms
Automation platforms aim to automate repetitive tasks using workflows, w...
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05/02/2023
From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Creating programs to correctly manipulate data is a difficult task, as t...
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01/31/2023
FLAME: A small language model for spreadsheet formulas
The widespread use of spreadsheet environments by billions of users pres...
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09/29/2022
Repairing Bugs in Python Assignments Using Large Language Models
Students often make mistakes on their introductory programming assignmen...
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08/24/2022
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Most programmers make mistakes when writing code. Some of these mistakes...
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08/11/2022
CORNET: Learning Table Formatting Rules By Example
Spreadsheets are widely used for table manipulation and presentation. St...
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07/24/2022
Neurosymbolic Repair for Low-Code Formula Languages
Most users of low-code platforms, such as Excel and PowerApps, write pro...
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01/26/2022
Synchromesh: Reliable code generation from pre-trained language models
Large pre-trained language models have been used to generate code,provid...
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09/03/2021
Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis
Multi-modal program synthesis refers to the task of synthesizing program...
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03/02/2021