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ORCIDJosé Cambronero
Person information
- affiliation: Google, USA
- affiliation (former): Microsoft, USA
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2020 – today
- 2026
[i32]Runxiang Cheng, Michele Tufano, José Cambronero, Renyao Wei, Sherry Shi, Grant Uy, Pat Rondon, Franjo Ivancic:
Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair. CoRR abs/2601.19066 (2026)- 2025
- [j10]Mukul Singh
, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Arjun Radhakrishna, Gust Verbruggen:
DataVinci: Learning Syntactic and Semantic String Repairs. Proc. ACM Manag. Data 3(1): 27:1-27:26 (2025) - [c16]Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, Satish Chandra:
Evaluating Agent-Based Program Repair at Google. SEIP@ICSE 2025: 365-376 - [c15]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. NAACL (Findings) 2025: 7047-7054 - [i31]Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, Satish Chandra:
Evaluating Agent-based Program Repair at Google. CoRR abs/2501.07531 (2025) - [i30]Runxiang Cheng, Michele Tufano, Jürgen Cito, José Cambronero, Pat Rondon, Renyao Wei, Aaron Sun, Satish Chandra:
Agentic Bug Reproduction for Effective Automated Program Repair at Google. CoRR abs/2502.01821 (2025) - [i29]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
Tabularis Formatus: Predictive Formatting for Tables. CoRR abs/2508.11121 (2025) - [i28]Meghana Sistla, Gogul Balakrishnan, Pat Rondon, José Cambronero, Michele Tufano, Satish Chandra:
Towards Verified Code Reasoning by LLMs. CoRR abs/2509.26546 (2025) - [i27]José Cambronero, Michele Tufano, Sherry Shi, Renyao Wei, Grant Uy, Runxiang Cheng, Chin-Jung Liu, Shiying Pan, Satish Chandra, Pat Rondon:
Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair. CoRR abs/2510.03217 (2025) - [i26]Vincent Nguyen, Guilherme Herzog, José Cambronero, Marcus Revaj, Aditya Kini, Alexander Frömmgen, Maxim Tabachnyk:
Smart Paste: Automatically Fixing Copy/Paste for Google Developers. CoRR abs/2510.03843 (2025) - [i25]Jialu Zhang, Jialiang Gu, Wangmeiyu Zhang, José Pablo Cambronero, John C. Kolesar, Ruzica Piskac, Daming Li, Hanyuan Shi:
A Systematic Study of Time Limit Exceeded Errors in Online Programming Assignments. CoRR abs/2510.14339 (2025) - [i24]Sherry Shi, Renyao Wei, Michele Tufano, José Cambronero, Runxiang Cheng, Franjo Ivancic, Pat Rondon:
Towards a Human-in-the-Loop Framework for Reliable Patch Evaluation Using an LLM-as-a-Judge. CoRR abs/2511.10865 (2025) - 2024
- [j9]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) - [c14]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 - [c13]Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani:
EmFORE: Learning Email Folder Classification Rules by Demonstration. AAAI 2024: 23835-23837 - [c12]Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
Encoding Spreadsheets for Large Language Models. EMNLP 2024: 20728-20748 - [c11]Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares:
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. LAK 2024: 12-23 - [c10]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 - [i23]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) - [i22]Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. CoRR abs/2407.09025 (2024) - [i21]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) - [i20]Vishwanath Seshagiri, Siddharth Balyan, Vaastav Anand, Kaustubh D. Dhole, Ishan Sharma, Avani Wildani, José Cambronero, Andreas Züfle:
Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL. CoRR abs/2412.03612 (2024) - 2023
- [j8]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) - [j7]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) - [j6]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) - [j5]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) - [c9]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 - [c8]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
EmFore: Online Learning of Email Folder Classification Rules. CIKM 2023: 2280-2290 - [c7]Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares:
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. EDM 2023 - [c6]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 - [c5]Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares:
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. ICER (2) 2023: 41-42 - [i19]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) - [i18]Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares:
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. CoRR abs/2302.04662 (2023) - [i17]Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares:
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. CoRR abs/2306.17156 (2023) - [i16]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) - [i15]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen:
DataVinci: Learning Syntactic and Semantic String Repairs. CoRR abs/2308.10922 (2023) - [i14]Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn:
Co-audit: tools to help humans double-check AI-generated content. CoRR abs/2310.01297 (2023) - [i13]Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares:
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. CoRR abs/2310.03780 (2023) - [i12]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) - [i11]Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
Assessing GPT4-V on Structured Reasoning Tasks. CoRR abs/2312.11524 (2023) - 2022
- [j4]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) - [i10]Bram Wasti, José Pablo Cambronero, Benoit Steiner, Hugh Leather, Aleksandar Zlateski:
LoopStack: a Lightweight Tensor Algebra Compiler Stack. CoRR abs/2205.00618 (2022) - [i9]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) - [i8]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) - [i7]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) - [i6]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
- [b1]José Pablo Cambronero Sánchez:
Mining Software Artifacts for use in Automated Machine Learning. Massachusetts Institute of Technology, USA, 2021 - [j3]Fatjon Zogaj, José Pablo Cambronero, Martin C. Rinard, Jürgen Cito:
Doing More with Less: Characterizing Dataset Downsampling for AutoML. Proc. VLDB Endow. 14(11): 2059-2072 (2021) - [i5]Thurston H. Y. Dang, José Pablo Cambronero, Martin C. Rinard:
Inferring Drop-in Binary Parsers from Program Executions. CoRR abs/2104.09669 (2021) - [i4]Malavika Samak, José Pablo Cambronero, Martin C. Rinard:
Searching for Replacement Classes. CoRR abs/2110.05638 (2021) - 2020
- [c4]José Pablo Cambronero, Jürgen Cito, Martin C. Rinard:
AMS: generating AutoML search spaces from weak specifications. ESEC/SIGSOFT FSE 2020: 763-774
2010 – 2019
- 2019
- [j2]José Pablo Cambronero, Martin C. Rinard:
AL: autogenerating supervised learning programs. Proc. ACM Program. Lang. 3(OOPSLA): 175:1-175:28 (2019) - [c3]José Pablo Cambronero, Thurston H. Y. Dang, Nikos Vasilakis, Jiasi Shen, Jerry Wu, Martin C. Rinard:
Active learning for software engineering. Onward! 2019: 62-78 - [c2]José Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra:
When deep learning met code search. ESEC/SIGSOFT FSE 2019: 964-974 - [c1]José Pablo Cambronero, Jiasi Shen, Jürgen Cito, Elena L. Glassman, Martin C. Rinard:
Characterizing Developer Use of Automatically Generated Patches. VL/HCC 2019: 181-185 - [i3]José Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra:
When Deep Learning Met Code Search. CoRR abs/1905.03813 (2019) - [i2]José Pablo Cambronero, Jiasi Shen, Jürgen Cito, Elena L. Glassman, Martin C. Rinard:
Characterizing Developer Use of Automatically Generated Patches. CoRR abs/1907.06535 (2019) - 2018
- [i1]José Pablo Cambronero, Phillip Stanley-Marbell, Martin C. Rinard:
Incremental Color Quantization for Color-Vision-Deficient Observers Using Mobile Gaming Data. CoRR abs/1803.08420 (2018) - 2017
- [j1]José Cambronero, John K. Feser, Micah J. Smith, Samuel Madden:
Query Optimization for Dynamic Imputation. Proc. VLDB Endow. 10(11): 1310-1321 (2017)
Coauthor Index
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last updated on 2026-02-27 23:46 CET by the dblp team
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