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Vu Le 0002
Person information
- affiliation: Microsoft Corporation, Redmond, WA, USA
- affiliation: University of California at Davis, CA, USA
Other persons with the same name
- Vu Le — disambiguation page
- Vu Le 0001 (aka: Vu Thanh Le 0001) — Deakin University, Institute for Intelligent Systems Research and Innovation, Australia (and 1 more)
- Vu Le 0003 — George Mason University, Learning Agents Center, Volgenau School of Information Technology and Engineering, Fairfax, USA
- Vu Le 0004 — University of Arizona, Department of Computer Science, USA
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2020 – today
- 2024
- [j10]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) - [c28]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 - [c27]Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani:
EmFORE: Learning Email Folder Classification Rules by Demonstration. AAAI 2024: 23835-23837 - [c26]Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani:
Tabularis Revilio: Converting Text to Tables. CIKM 2024: 4056-4060 - [c25]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 - [c24]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 - [c23]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 - [c22]Shraddha Barke, Christian Pölitz, Carina Negreanu, Benjamin 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. NAACL-HLT (Findings) 2024: 626-638 - [i20]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 abs/2402.11734 (2024) - [i19]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) - [i18]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) - [i17]Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar:
Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. CoRR abs/2408.08781 (2024) - 2023
- [j9]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): 952-981 (2023) - [j8]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) - [j7]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) - [j6]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) - [c21]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 - [c20]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
EmFore: Online Learning of Email Folder Classification Rules. CIKM 2023: 2280-2290 - [c19]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 - [c18]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 - [c17]Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le:
Personalized action suggestions in low-code automation platforms. ICSE Companion 2023: 346-350 - [i16]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) - [i15]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 abs/2305.01598 (2023) - [i14]Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le:
Personalized action suggestions in low-code automation platforms. CoRR abs/2305.10530 (2023) - [i13]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) - [i12]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen:
DataVinci: Learning Syntactic and Semantic String Repairs. CoRR abs/2308.10922 (2023) - [i11]Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin:
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs. CoRR abs/2310.10358 (2023) - [i10]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) - [i9]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
Assessing GPT4-V on Structured Reasoning Tasks. CoRR abs/2312.11524 (2023) - 2022
- [j5]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): 1093-1122 (2022) - [c16]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 - [c15]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: 972-983 - [i8]Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable code generation from pre-trained language models. CoRR abs/2201.11227 (2022) - [i7]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 abs/2207.11765 (2022) - [i6]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) - [i5]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) - [i4]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
- [j4]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): 1-29 (2021) - [j3]Gust Verbruggen, Vu Le, Sumit Gulwani:
Semantic programming by example with pre-trained models. Proc. ACM Program. Lang. 5(OOPSLA): 1-25 (2021) - [c14]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: 785-796 - [c13]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: 258-269 - [i3]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 abs/2103.02004 (2021) - [i2]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 abs/2109.02445 (2021) - 2020
- [j2]Sumit Gulwani, Vu Le, Arjun Radhakrishna, Ivan Radicek, Mohammad Raza:
Structure interpretation of text formats. Proc. ACM Program. Lang. 4(OOPSLA): 212:1-212:29 (2020) - [c12]Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani:
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction. ICPR 2020: 4062-4069
2010 – 2019
- 2019
- [j1]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): 143:1-143:29 (2019) - 2017
- [i1]Vu Le, Daniel Perelman, Oleksandr Polozov, Mohammad Raza, Abhishek Udupa, Sumit Gulwani:
Interactive Program Synthesis. CoRR abs/1703.03539 (2017) - 2016
- [c11]Chengnian Sun, Vu Le, Zhendong Su:
Finding and analyzing compiler warning defects. ICSE 2016: 203-213 - [c10]Chengnian Sun, Vu Le, Qirun Zhang, Zhendong Su:
Toward understanding compiler bugs in GCC and LLVM. ISSTA 2016: 294-305 - [c9]Chengnian Sun, Vu Le, Zhendong Su:
Finding compiler bugs via live code mutation. OOPSLA 2016: 849-863 - 2015
- [c8]Vu Le, Chengnian Sun, Zhendong Su:
Randomized stress-testing of link-time optimizers. ISSTA 2015: 327-337 - [c7]Vu Le, Chengnian Sun, Zhendong Su:
Finding deep compiler bugs via guided stochastic program mutation. OOPSLA 2015: 386-399 - [c6]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: 291-301 - 2014
- [c5]Vu Le, Mehrdad Afshari, Zhendong Su:
Compiler validation via equivalence modulo inputs. PLDI 2014: 216-226 - [c4]Vu Le, Sumit Gulwani:
FlashExtract: a framework for data extraction by examples. PLDI 2014: 542-553 - 2013
- [c3]Vu Le, Sumit Gulwani, Zhendong Su:
SmartSynth: synthesizing smartphone automation scripts from natural language. MobiSys 2013: 193-206 - [c2]Vu Le, Jonathan de Halleux, Sumit Gulwani, Zhendong Su:
Keyword programming for TouchDevelop. MobiSys 2013: 463-464 - [c1]Earl T. Barr, Thanh Vo, Vu Le, Zhendong Su:
Automatic detection of floating-point exceptions. POPL 2013: 549-560
Coauthor Index
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last updated on 2024-12-02 22:28 CET by the dblp team
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