Query Optimization for Dynamic Imputation. - José Cambronero; John K. Feser; Micah J. Smith; Samuel Madden 001 (Proc. VLDB Endow., 2017)

Incremental Color Quantization for Color-Vision-Deficient Observers Using Mobile Gaming Data. - José Pablo Cambronero; Phillip Stanley-Marbell; Martin C. Rinard (CoRR, 2018)

Active learning for software engineering. - José Pablo Cambronero; Thurston H. Y. Dang; Nikos Vasilakis; Jiasi Shen 001; Jerry Wu; Martin C. Rinard (Onward!, 2019)

When deep learning met code search. - José Cambronero; Hongyu Li; Seohyun Kim 001; Koushik Sen; Satish Chandra 001 (ESEC/SIGSOFT FSE, 2019)

Characterizing Developer Use of Automatically Generated Patches. - José Pablo Cambronero; Jiasi Shen 001; Jürgen Cito; Elena L. Glassman; Martin C. Rinard (VL/HCC, 2019)

AL: autogenerating supervised learning programs. - José Pablo Cambronero; Martin C. Rinard (Proc. ACM Program. Lang., 2019)

AMS: generating AutoML search spaces from weak specifications. - José Pablo Cambronero; Jürgen Cito; Martin C. Rinard (ESEC/SIGSOFT FSE, 2020)

Inferring Drop-in Binary Parsers from Program Executions. - Thurston H. Y. Dang; José Pablo Cambronero; Martin C. Rinard (CoRR, 2021)

Searching for Replacement Classes. - Malavika Samak; José Pablo Cambronero; Martin C. Rinard (CoRR, 2021)

Doing More with Less: Characterizing Dataset Downsampling for AutoML. - Fatjon Zogaj; José Pablo Cambronero; Martin C. Rinard; Jürgen Cito (Proc. VLDB Endow., 2021)

Mining Software Artifacts for use in Automated Machine Learning. - José Pablo Cambronero Sánchez (2021)

LoopStack: a Lightweight Tensor Algebra Compiler Stack. - Bram Wasti; José Pablo Cambronero; Benoit Steiner; Hugh Leather; Aleksandar Zlateski (CoRR, 2022)

CORNET: A neurosymbolic approach to learning conditional table formatting rules by example. - Mukul Singh; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Carina Negreanu; Mohammad Raza; Gust Verbruggen (CoRR, 2022)

Repairing Bugs in Python Assignments Using Large Language Models. - Jialu Zhang 002; José Cambronero; Sumit Gulwani; Vu Le 002; Ruzica Piskac; Gustavo Soares; Gust Verbruggen (CoRR, 2022)

Neurosymbolic repair for low-code formula languages. - Rohan Bavishi; Harshit Joshi; José Cambronero; Anna Fariha; Sumit Gulwani; Vu Le 002; Ivan Radicek; Ashish Tiwari 001 (Proc. ACM Program. Lang., 2022)

Repair Is Nearly Generation: Multilingual Program Repair with LLMs. - Harshit Joshi; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Gust Verbruggen; Ivan Radicek (AAAI, 2023)

EmFore: Online Learning of Email Folder Classification Rules. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Gust Verbruggen (CIKM, 2023)

Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. - Tung Phung; José Cambronero; Sumit Gulwani; Tobias Kohn; Rupak Majumdar; Adish Singla; Gustavo Soares (EDM, 2023)

CodeFusion: A Pre-trained Diffusion Model for Code Generation. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (EMNLP, 2023)

Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. - Tung Phung; Victor-Alexandru Padurean; José Cambronero; Sumit Gulwani; Tobias Kohn; Rupak Majumdar; Adish Singla; Gustavo Soares (ICER (2), 2023)

Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (CoRR, 2023)

DataVinci: Learning Syntactic and Semantic String Repairs. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (CoRR, 2023)

Co-audit: tools to help humans double-check AI-generated content. - Andrew D. Gordon 001; Carina Negreanu; José Cambronero; Rasika Chakravarthy; Ian Drosos; Hao Fang; Bhaskar Mitra 001; Hannah Richardson; Advait Sarkar; Stephanie Simmons; Jack Williams 001; Ben Zorn 001 (CoRR, 2023)

Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs. - Ananya Singha; José Cambronero; Sumit Gulwani; Vu Le 002; Chris Parnin (CoRR, 2023)

Assessing GPT4-V on Structured Reasoning Tasks. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Gust Verbruggen (CoRR, 2023)

CORNET: Learning Table Formatting Rules By Example. - Mukul Singh; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Carina Negreanu; Mohammad Raza; Gust Verbruggen (Proc. VLDB Endow., 2023)

CORNET: Learning Spreadsheet Formatting Rules By Example. - Mukul Singh; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (Proc. VLDB Endow., 2023)

FlashFill++: Scaling Programming by Example by Cutting to the Chase. - José Cambronero; Sumit Gulwani; Vu Le 002; Daniel Perelman; Arjun Radhakrishna; Clint Simon; Ashish Tiwari 001 (Proc. ACM Program. Lang., 2023)

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Elnaz Nouri; Mohammad Raza; Gust Verbruggen (Proc. VLDB Endow., 2023)

FLAME: A Small Language Model for Spreadsheet Formulas. - Harshit Joshi; Abishai Ebenezer; José Pablo Cambronero Sánchez; Sumit Gulwani; Aditya Kanade 001; Vu Le 002; Ivan Radicek; Gust Verbruggen (AAAI, 2024)

EmFORE: Learning Email Folder Classification Rules by Demonstration. - Mukul Singh; Gust Verbruggen; José Cambronero; Vu Le 002; Sumit Gulwani (AAAI, 2024)

Encoding Spreadsheets for Large Language Models. - Haoyu Dong 001; Jianbo Zhao; Yuzhang Tian; Junyu Xiong; Mengyu Zhou; Yun Lin; José Cambronero; Yeye He; Shi Han; Dongmei Zhang 001 (EMNLP, 2024)

Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. - Tung Phung; Victor-Alexandru Padurean; Anjali Singh; Christopher Brooks 001; José Cambronero; Sumit Gulwani; Adish Singla; Gustavo Soares (LAK, 2024)

Solving Data-centric Tasks using Large Language Models. - Shraddha Barke; Christian Pölitz; Carina Negreanu; Benjamin Zorn 001; José Cambronero; Andrew D. Gordon 001; Vu Le 002; Elnaz Nouri; Nadia Polikarpova; Advait Sarkar; Brian Slininger; Neil Toronto; et al. (NAACL-HLT (Findings), 2024)

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. - Yuzhang Tian; Jianbo Zhao; Haoyu Dong 001; Junyu Xiong; Shiyu Xia; Mengyu Zhou; Yun Lin; José Cambronero; Yeye He; Shi Han; Dongmei Zhang 001 (CoRR, 2024)

Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL. - Vishwanath Seshagiri; Siddharth Balyan; Vaastav Anand; Kaustubh D. Dhole; Ishan Sharma; Avani Wildani; José Cambronero; Andreas Züfle (CoRR, 2024)

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. - Jialu Zhang 002; José Pablo Cambronero; Sumit Gulwani; Vu Le 002; Ruzica Piskac; Gustavo Soares; Gust Verbruggen (Proc. ACM Program. Lang., 2024)

Evaluating Agent-Based Program Repair at Google. - Pat Rondon; Renyao Wei; José Cambronero; Jürgen Cito; Aaron Sun; Siddhant Sanyam; Michele Tufano; Satish Chandra 001 (SEIP@ICSE, 2025)

An empirical study of validating synthetic data for formula generation. - Usneek Singh; José Cambronero; Sumit Gulwani; Aditya Kanade 001; Anirudh Khatry; Vu Le 002; Mukul Singh; Gust Verbruggen (NAACL (Findings), 2025)

Agentic Bug Reproduction for Effective Automated Program Repair at Google. - Runxiang Cheng; Michele Tufano; Jürgen Cito; José Cambronero; Pat Rondon; Renyao Wei; Aaron Sun; Satish Chandra 001 (CoRR, 2025)

DataVinci: Learning Syntactic and Semantic String Repairs. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Arjun Radhakrishna; Gust Verbruggen (Proc. ACM Manag. Data, 2025)

Tabularis Formatus: Predictive Formatting for Tables. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Gust Verbruggen (CoRR, 2025)