LinkingPark: An Integrated Approach for Semantic Table Interpretation. - Shuang Chen 003; Alperen Karaoglu; Carina Negreanu; Tingting Ma; Jin-Ge Yao; Jack Williams 001; Andy Gordon 001; Chin-Yew Lin (SemTab@ISWC, 2020)

Understanding and Inferring Units in Spreadsheets. - Jack Williams 001; Carina Negreanu; Andrew D. Gordon 001; Advait Sarkar (VL/HCC, 2020)

TExSS 22: Transparency and Explanations in Smart Systems. - Tsvi Kuflik; Jonathan Dodge; Styliani Kleanthous Loizou; Brian Y. Lim; Carina Negreanu; Avital Shulner-Tal; Simone Stumpf (IUI Companion, 2022)

What is it like to program with artificial intelligence? - Advait Sarkar; Carina Negreanu; Ben Zorn 001; Sruti Srinivasa Ragavan; Christian Pölitz; Andrew D. Gordon 001 (PPIG, 2022)

Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model. - Carina Negreanu; Alperen Karaoglu; Jack Williams 001; Shuang Chen 003; Daniel Fabian; Andrew D. Gordon 001; Chin-Yew Lin (WWW (Companion Volume), 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)

LinkingPark: An automatic semantic table interpretation system. - Shuang Chen 003; Alperen Karaoglu; Carina Negreanu; Tingting Ma; Jin-Ge Yao; Jack Williams 001; Feng Jiang 001; Andy Gordon 001; Chin-Yew Lin (J. Web Semant., 2022)

"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models. - Michael Xieyang Liu; Advait Sarkar; Carina Negreanu; Benjamin G. Zorn; Jack Williams 001; Neil Toronto; Andrew D. Gordon 001 (CHI, 2023)

InstructExcel: A Benchmark for Natural Language Instruction in Excel. - Justin Payan; Swaroop Mishra; Mukul Singh; Carina Negreanu; Christian Pölitz; Chitta Baral; Subhro Roy; Rasika Chakravarthy; Benjamin Van Durme; Elnaz Nouri (EMNLP (Findings), 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)

COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code. - Kasra Ferdowsi; Jack Williams 001; Ian Drosos; Andrew D. Gordon 001; Carina Negreanu; Nadia Polikarpova; Advait Sarkar; Benjamin Zorn 001 (VL/HCC, 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)

Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows. - Advait Sarkar; Ian Drosos; Rob DeLine; Andrew D. Gordon 001; Carina Negreanu; Sean Rintel; Jack Williams 001; Benjamin G. Zorn (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)

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)

"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study. - Ian Drosos; Advait Sarkar; Xiaotong Xu; Carina Negreanu; Sean Rintel; Lev Tankelevitch (CHIWORK, 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)

Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition. - Majeed Kazemitabaar; Jack Williams 001; Ian Drosos; Tovi Grossman; Austin Zachary Henley; Carina Negreanu; Advait Sarkar (UIST, 2024)

Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. - Bhuvanashree Murugadoss; Christian Pölitz; Ian Drosos; Vu Le 002; Nick McKenna; Carina Suzana Negreanu; Chris Parnin; Advait Sarkar (AAAI, 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)