Vu Le

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 46

Top Topics

Classification Rules

Online Learning

Top Venues

Proc. ACM Program. Lang.

Proc. VLDB Endow.

Publications

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 (2024)
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) (2024)
Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani
EmFORE: Learning Email Folder Classification Rules by Demonstration. AAAI (2024)
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 (2024)
Shraddha Barke, Christian Pölitz, Carina Suzana Negreanu, Benjamin G. Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
Solving Data-centric Tasks using Large Language Models. CoRR (2024)
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)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CodeFusion: A Pre-trained Diffusion Model for Code Generation. EMNLP (2023)
José Cambronero, Sumit Gulwani, Vu Le, Daniel Perelman, Arjun Radhakrishna, Clint Simon, Ashish Tiwari
FlashFill++: Scaling Programming by Example by Cutting to the Chase. Proc. ACM Program. Lang. 7 (POPL) (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
DataVinci: Learning Syntactic and Semantic String Repairs. CoRR (2023)
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)
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) (2023)
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) (2023)
Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs. CoRR (2023)
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
Personalized action suggestions in low-code automation platforms. ICSE Companion (2023)
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)
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. CoRR (2023)
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
Personalized action suggestions in low-code automation platforms. CoRR (2023)
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 (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Assessing GPT4-V on Structured Reasoning Tasks. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
EmFore: Online Learning of Email Folder Classification Rules. CIKM (2023)
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) (2023)
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
: Target Similarity Tuning Meets the Real World. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CodeFusion: A Pre-trained Diffusion Model for Code Generation. CoRR (2023)
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 (2023)
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, K. Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
From Words to Code: Harnessing Data for Program Synthesis from Natural Language. CoRR (2023)
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
Repairing Bugs in Python Assignments Using Large Language Models. CoRR (2022)
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 (2022)
Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani
Synchromesh: Reliable Code Generation from Pre-trained Language Models. ICLR (2022)
Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. CoRR (2022)
Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani
Synchromesh: Reliable code generation from pre-trained language models. CoRR (2022)
Rohan Bavishi, Harshit Joshi, José Cambronero, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari
Neurosymbolic repair for low-code formula languages. Proc. ACM Program. Lang. 6 (OOPSLA2) (2022)
Zhengkai Wu, Vu Le, Ashish Tiwari, Sumit Gulwani, Arjun Radhakrishna, Ivan Radicek, Gustavo Soares, Xinyu Wang, Zhenwen Li, Tao Xie
NL2Viz: natural language to visualization via constrained syntax-guided synthesis. ESEC/SIGSOFT FSE (2022)
Rohan Bavishi, Harshit Joshi, José Pablo Cambronero Sánchez, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari
Neurosymbolic Repair for Low-Code Formula Languages. CoRR (2022)
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. CoRR (2021)
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. ICSE (2021)
Kia Rahmani, Mohammad Raza, Sumit Gulwani, Vu Le, Daniel Morris, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis. CoRR (2021)
Wode Ni, Joshua Sunshine, Vu Le, Sumit Gulwani, Titus Barik
reCode : A Lightweight Find-and-Replace Interaction in the IDE for Transforming Code by Example. UIST (2021)
Gust Verbruggen, Vu Le, Sumit Gulwani
Semantic programming by example with pre-trained models. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Kia Rahmani, Mohammad Raza, Sumit Gulwani, Vu Le, Daniel Morris, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
Multi-modal program inference: a marriage of pre-trained language models and component-based synthesis. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction. ICPR (2020)
Sumit Gulwani, Vu Le, Arjun Radhakrishna, Ivan Radicek, Mohammad Raza
Structure interpretation of text formats. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
Anders Miltner, Sumit Gulwani, Vu Le, Alan Leung, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari, Abhishek Udupa
On the fly synthesis of edit suggestions. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Vu Le, Daniel Perelman, Oleksandr Polozov, Mohammad Raza, Abhishek Udupa, Sumit Gulwani
Interactive Program Synthesis. CoRR (2017)
Chengnian Sun, Vu Le, Zhendong Su
Finding and analyzing compiler warning defects. ICSE (2016)
Chengnian Sun, Vu Le, Zhendong Su
Finding compiler bugs via live code mutation. OOPSLA (2016)
Chengnian Sun, Vu Le, Qirun Zhang, Zhendong Su
Toward understanding compiler bugs in GCC and LLVM. ISSTA (2016)
Vu Le, Chengnian Sun, Zhendong Su
Finding deep compiler bugs via guided stochastic program mutation. OOPSLA (2015)
Mikaël Mayer, Gustavo Soares, Maxim Grechkin, Vu Le, Mark Marron, Oleksandr Polozov, Rishabh Singh, Benjamin G. Zorn, Sumit Gulwani
User Interaction Models for Disambiguation in Programming by Example. UIST (2015)
Vu Le, Chengnian Sun, Zhendong Su
Randomized stress-testing of link-time optimizers. ISSTA (2015)
Vu Le, Sumit Gulwani
FlashExtract: a framework for data extraction by examples. PLDI (2014)
Vu Le, Mehrdad Afshari, Zhendong Su
Compiler validation via equivalence modulo inputs. PLDI (2014)
Vu Le, Sumit Gulwani, Zhendong Su
SmartSynth: synthesizing smartphone automation scripts from natural language. MobiSys (2013)
Vu Le, Jonathan de Halleux, Sumit Gulwani, Zhendong Su
Keyword programming for TouchDevelop. MobiSys (2013)
Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su
Automatic detection of floating-point exceptions. POPL (2013)