What is it like to program with artificial intelligence? A Sarkar, AD Gordon, C Negreanu, C Poelitz, SS Ragavan, B Zorn arXiv preprint arXiv:2208.06213, 2022 | 75 | 2022 |
“What it wants me to say”: Bridging the abstraction gap between end-user programmers and code-generating large language models MX Liu, A Sarkar, C Negreanu, B Zorn, J Williams, N Toronto, AD Gordon Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 69 | 2023 |
LinkingPark: An Integrated Approach for Semantic Table Interpretation. S Chen, A Karaoglu, C Negreanu, T Ma, JG Yao, J Williams, A Gordon, ... SemTab@ ISWC, 65-74, 2020 | 27 | 2020 |
Understanding and inferring units in spreadsheets J Williams, C Negreanu, AD Gordon, A Sarkar 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC …, 2020 | 14 | 2020 |
Codefusion: A pre-trained diffusion model for code generation M Singh, J Cambronero, S Gulwani, V Le, C Negreanu, G Verbruggen arXiv preprint arXiv:2310.17680, 2023 | 13 | 2023 |
Ultrarelativistic oscillon collisions MA Amin, I Banik, C Negreanu, IS Yang Physical Review D 90 (8), 085024, 2014 | 8 | 2014 |
ColDeco: An end user spreadsheet inspection tool for AI-generated code K Ferdowsi, J Williams, I Drosos, AD Gordon, C Negreanu, N Polikarpova, ... 2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC …, 2023 | 6 | 2023 |
Co-audit: tools to help humans double-check AI-generated content AD Gordon, C Negreanu, J Cambronero, R Chakravarthy, I Drosos, ... arXiv preprint arXiv:2310.01297, 2023 | 6 | 2023 |
LinkingPark: An automatic semantic table interpretation system S Chen, A Karaoglu, C Negreanu, T Ma, JG Yao, J Williams, F Jiang, ... Journal of Web Semantics 74, 100733, 2022 | 5 | 2022 |
Cornet: A neurosymbolic approach to learning conditional table formatting rules by example M Singh, J Cambronero, S Gulwani, V Le, C Negreanu, M Raza, ... arXiv preprint arXiv:2208.06032, 2022 | 5 | 2022 |
Cornet: Learning Table Formatting Rules By Example M Singh, J Cambronero, S Gulwani, V Le, C Negreanu, M Raza, ... arXiv preprint arXiv:2208.06032, 2022 | 4 | 2022 |
Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows A Sarkar, I Drosos, R Deline, AD Gordon, C Negreanu, S Rintel, ... arXiv preprint arXiv:2312.16633, 2023 | 2 | 2023 |
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language M Singh, J Cambronero, S Gulwani, V Le, C Negreanu, E Nouri, M Raza, ... arXiv preprint arXiv:2310.17306, 2023 | 2 | 2023 |
Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model C Negreanu, A Karaoglu, J Williams, S Chen, D Fabian, A Gordon, CY Lin Companion Proceedings of the Web Conference 2022, 1272-1280, 2022 | 2 | 2022 |
InstructExcel: A Benchmark for Natural Language Instruction in Excel J Payan, S Mishra, M Singh, C Negreanu, C Poelitz, C Baral, S Roy, ... arXiv preprint arXiv:2310.14495, 2023 | 1 | 2023 |
DataVinci: Learning Syntactic and Semantic String Repairs M Singh, J Cambronero, S Gulwani, V Le, C Negreanu, G Verbruggen arXiv preprint arXiv:2308.10922, 2023 | 1 | 2023 |
Example-based autogenerated data processing rules M Singh, JPC SÁNCHEZ, S Gulwani, VM Le, CS Negreanu, M Raza, ... US Patent App. 18/075,497, 2024 | | 2024 |
Generation of interactive utterances of code tasks BG Zorn, CS Negreanu, A Sarkar, AD Gordon, JHM Williams, LIU Xieyang, ... US Patent App. 17/976,570, 2024 | | 2024 |
Model capability extraction BG Zorn, CS Negreanu, BP SLININGER, AD Gordon, A SARKAR, ... US Patent App. 17/969,922, 2024 | | 2024 |
Solving Data-centric Tasks using Large Language Models S Barke, C Poelitz, CS Negreanu, B Zorn, J Cambronero, AD Gordon, ... arXiv preprint arXiv:2402.11734, 2024 | | 2024 |