Carina Negreanu

According to our database, Carina Negreanu authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions.

Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar

CoRR, 2024

Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition.

Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Zachary Henley, Carina Negreanu, Advait Sarkar

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Solving Data-centric Tasks using Large Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

"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

Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, 2024

2023

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen

Proc. VLDB Endow., November, 2023

CORNET: Learning Spreadsheet Formatting Rules By Example.

Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

Proc. VLDB Endow., 2023

CORNET: Learning Table Formatting Rules By Example.

Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen

Proc. VLDB Endow., 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, Carina Negreanu, Sean Rintel, Jack Williams, Benjamin G. Zorn

CoRR, 2023

Co-audit: tools to help humans double-check AI-generated content.

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

CoRR, 2023

DataVinci: Learning Syntactic and Semantic String Repairs.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

CoRR, 2023

Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

CoRR, 2023

COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code.

Kasra Ferdowsi, Jack Williams, Ian Drosos, Andrew D. Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Benjamin Zorn

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

CodeFusion: A Pre-trained Diffusion Model for Code Generation.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

"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, Neil Toronto, Andrew D. Gordon

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

LinkingPark: An automatic semantic table interpretation system.

Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Feng Jiang, Andy Gordon, Chin-Yew Lin

J. Web Semant., 2022

CORNET: A neurosymbolic approach to learning conditional table formatting rules by example.

Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen

CoRR, 2022

Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model.

Carina Negreanu, Alperen Karaoglu, Jack Williams, Shuang Chen, Daniel Fabian, Andrew D. Gordon, Chin-Yew Lin

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

What is it like to program with artificial intelligence?

Advait Sarkar, Carina Negreanu, Ben Zorn, Sruti Srinivasa Ragavan, Christian Pölitz, Andrew D. Gordon

Proceedings of the 33rd Annual Workshop of the Psychology of Programming Interest Group, 2022

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

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022

2020

Understanding and Inferring Units in Spreadsheets.

Jack Williams, Carina Negreanu, Andrew D. Gordon, Advait Sarkar

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2020

LinkingPark: An Integrated Approach for Semantic Table Interpretation.

Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Andy Gordon, Chin-Yew Lin

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020