Omnipedia: bridging the wikipedia language gap P Bao, B Hecht, S Carton, M Quaderi, M Horn, D Gergle Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012 | 149 | 2012 |
Human-ai collaboration via conditional delegation: A case study of content moderation V Lai, S Carton, R Bhatnagar, QV Liao, Y Zhang, C Tan Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 121 | 2022 |
Rumorlens: A system for analyzing the impact of rumors and corrections in social media P Resnick, S Carton, S Park, Y Shen, N Zeffer Proc. Computational Journalism Conference 5 (7), 2014 | 99 | 2014 |
Feature-based explanations don't help people detect misclassifications of online toxicity S Carton, Q Mei, P Resnick Proceedings of the international AAAI conference on web and social media 14 …, 2020 | 68 | 2020 |
Identifying police officers at risk of adverse events S Carton, J Helsby, K Joseph, A Mahmud, Y Park, J Walsh, C Cody, ... Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 62 | 2016 |
Explanatory semantic relatedness and explicit spatialization for exploratory search B Hecht, SH Carton, M Quaderi, J Schöning, M Raubal, D Gergle, ... Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 55 | 2012 |
Evaluating and characterizing human rationales S Carton, A Rathore, C Tan arXiv preprint arXiv:2010.04736, 2020 | 51 | 2020 |
Early intervention systems: Predicting adverse interactions between police and the public J Helsby, S Carton, K Joseph, A Mahmud, Y Park, A Navarrete, ... Criminal justice policy review 29 (2), 190-209, 2018 | 49 | 2018 |
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts S Carton, Q Mei, P Resnick Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 44 | 2018 |
Judge the judges: A large-scale evaluation study of neural language models for online review generation C Garbacea, S Carton, S Yan, Q Mei arXiv preprint arXiv:1901.00398, 2019 | 27 | 2019 |
Explainable prediction of text complexity: The missing preliminaries for text simplification C Garbacea, M Guo, S Carton, Q Mei arXiv preprint arXiv:2007.15823, 2020 | 24 | 2020 |
What to learn, and how: Toward effective learning from rationales S Carton, S Kanoria, C Tan arXiv preprint arXiv:2112.00071, 2021 | 20 | 2021 |
Human-centered evaluation of explanations J Boyd-Graber, S Carton, S Feng, QV Liao, T Lombrozo, A Smith-Renner, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 18 | 2022 |
Perspective: Large language models in applied mechanics NR Brodnik, S Carton, C Muir, S Ghosh, D Downey, MLP Echlin, ... Journal of Applied Mechanics 90 (10), 101008, 2023 | 17 | 2023 |
Audience analysis for competing memes in social media S Carton, S Park, N Zeffer, E Adar, Q Mei, P Resnick Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 12 | 2015 |
Harnessing explanations to bridge ai and humans V Lai, S Carton, C Tan arXiv preprint arXiv:2003.07370, 2020 | 7 | 2020 |
Learning to Ignore Adversarial Attacks Y Zhang, Y Zhou, S Carton, C Tan arXiv preprint arXiv:2205.11551, 2022 | 4 | 2022 |
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. C Gârbacea, M Guo, S Carton, Q Mei CoRR, 2020 | 2 | 2020 |
The Design and Evaluation of Neural Attention Mechanisms for Explaining Text Classifiers S Carton | 1 | 2019 |
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets S Ghosh, NR Brodnik, C Frey, C Holgate, TM Pollock, S Daly, S Carton arXiv preprint arXiv:2406.05348, 2024 | | 2024 |