Vu Le

Orcid: 0000-0003-3727-3291

Affiliations:
  • Microsoft Corporation, Redmond, WA, USA
  • University of California at Davis, CA, USA


According to our database1, Vu Le authored at least 43 papers between 2013 and 2024.

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Bibliography

2024
Solving Data-centric Tasks using Large Language Models.
CoRR, 2024

EmFORE: Learning Email Folder Classification Rules by Demonstration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

FLAME: A Small Language Model for Spreadsheet Formulas.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language.
Proc. VLDB Endow., November, 2023

FlashFill++: Scaling Programming by Example by Cutting to the Chase.
Proc. ACM Program. Lang., January, 2023

CORNET: Learning Spreadsheet Formatting Rules By Example.
Proc. VLDB Endow., 2023

CORNET: Learning Table Formatting Rules By Example.
Proc. VLDB Endow., 2023

Assessing GPT4-V on Structured Reasoning Tasks.
CoRR, 2023

TST<sup>R</sup>: Target Similarity Tuning Meets the Real World.
CoRR, 2023

Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs.
CoRR, 2023

DataVinci: Learning Syntactic and Semantic String Repairs.
CoRR, 2023

Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example.
CoRR, 2023

From Words to Code: Harnessing Data for Program Synthesis from Natural Language.
CoRR, 2023

Personalized action suggestions in low-code automation platforms.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

CodeFusion: A Pre-trained Diffusion Model for Code Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TSTR: Target Similarity Tuning Meets the Real World.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EmFore: Online Learning of Email Folder Classification Rules.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Repair Is Nearly Generation: Multilingual Program Repair with LLMs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Neurosymbolic repair for low-code formula languages.
Proc. ACM Program. Lang., 2022

Repairing Bugs in Python Assignments Using Large Language Models.
CoRR, 2022

CORNET: A neurosymbolic approach to learning conditional table formatting rules by example.
CoRR, 2022

NL2Viz: natural language to visualization via constrained syntax-guided synthesis.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Synchromesh: Reliable Code Generation from Pre-trained Language Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Semantic programming by example with pre-trained models.
Proc. ACM Program. Lang., 2021

Multi-modal program inference: a marriage of pre-trained language models and component-based synthesis.
Proc. ACM Program. Lang., 2021

Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis.
CoRR, 2021

reCode : A Lightweight Find-and-Replace Interaction in the IDE for Transforming Code by Example.
Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Structure interpretation of text formats.
Proc. ACM Program. Lang., 2020

An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
On the fly synthesis of edit suggestions.
Proc. ACM Program. Lang., 2019

2017
Interactive Program Synthesis.
CoRR, 2017

2016
Finding compiler bugs via live code mutation.
Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, 2016

Toward understanding compiler bugs in GCC and LLVM.
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

Finding and analyzing compiler warning defects.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
User Interaction Models for Disambiguation in Programming by Example.
Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015

Finding deep compiler bugs via guided stochastic program mutation.
Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, 2015

Randomized stress-testing of link-time optimizers.
Proceedings of the 2015 International Symposium on Software Testing and Analysis, 2015

2014
FlashExtract: a framework for data extraction by examples.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

Compiler validation via equivalence modulo inputs.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

2013
Automatic detection of floating-point exceptions.
Proceedings of the 40th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2013

Keyword programming for TouchDevelop.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

SmartSynth: synthesizing smartphone automation scripts from natural language.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013


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