| Beyond accuracy: Behavioral testing of NLP models with CheckList MT Ribeiro, T Wu, C Guestrin, S Singh Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 984 | 2020 |
| Does the whole exceed its parts? the effect of ai explanations on complementary team performance G Bansal, T Wu, J Zhou, R Fok, B Nushi, E Kamar, MT Ribeiro, D Weld Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 492 | 2021 |
| Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts T Wu, M Terry, CJ Cai Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 307 | 2022 |
| Polyjuice: Generating counterfactuals for explaining, evaluating, and improving models T Wu, MT Ribeiro, J Heer, DS Weld Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 235* | 2021 |
| Tool learning with foundation models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... arXiv preprint arXiv:2304.08354, 2023 | 176 | 2023 |
| Promptchainer: Chaining large language model prompts through visual programming T Wu, E Jiang, A Donsbach, J Gray, A Molina, M Terry, CJ Cai CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-10, 2022 | 151 | 2022 |
| Errudite: Scalable, Reproducible, and Testable Error Analysis T Wu, MT Ribeiro, J Heer, DS Weld Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 145 | 2019 |
| No explainability without accountability: An empirical study of explanations and feedback in interactive ml A Smith-Renner, R Fan, M Birchfield, T Wu, J Boyd-Graber, DS Weld, ... Proceedings of the 2020 chi conference on human factors in computing systems …, 2020 | 133 | 2020 |
| Storybuddy: A human-ai collaborative chatbot for parent-child interactive storytelling with flexible parental involvement Z Zhang, Y Xu, Y Wang, B Yao, D Ritchie, T Wu, M Yu, D Wang, TJJ Li Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 94 | 2022 |
| Fantastic Questions and Where to Find Them: FairytaleQA--An Authentic Dataset for Narrative Comprehension Y Xu, D Wang, M Yu, D Ritchie, B Yao, T Wu, Z Zhang, TJJ Li, N Bradford, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 71 | 2022 |
| Tailor: Generating and perturbing text with semantic controls A Ross, T Wu, H Peng, ME Peters, M Gardner Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021 | 68 | 2021 |
| Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... Northern European Journal of Language Technology 9 (1), 2021 | 66 | 2021 |
| NameClarifier: A Visual Analytics System for Author Name Disambiguation Q Shen, T Wu, H Yang, Y Wu, H Qu, W Cui IEEE Transactions on Visualization & Computer Graphics, 141-150, 2017 | 52 | 2017 |
| Bridging the gap: A survey on integrating (human) feedback for natural language generation P Fernandes, A Madaan, E Liu, A Farinhas, PH Martins, A Bertsch, ... Transactions of the Association of Computational Linguistics, 2023 | 49 | 2023 |
| Local decision pitfalls in interactive machine learning: An investigation into feature selection in sentiment analysis T Wu, DS Weld, J Heer ACM Transactions on Computer-Human Interaction (TOCHI) 26 (4), 1-27, 2019 | 49 | 2019 |
| It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books B Yao, D Wang, T Wu, Z Zhang, TJJ Li, M Yu, Y Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 46* | 2022 |
| Towards Natural Language-Based Visualization Authoring Y Wang, Z Hou, L Shen, T Wu, J Wang, H Huang, H Zhang, D Zhang IEEE Transactions on Visualization and Computer Graphics 29 (1), 1222-1232, 2022 | 39 | 2022 |
| NetworkSeer: Visual Analysis for Social Network in MOOCs T Wu, Y Yao, D Yuqing, X Fan, H Qu 2016 IEEE Pacific Visualization Symposium (PacificVis), 194--198, 2016 | 33 | 2016 |
| The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI S Longpre, R Mahari, A Chen, N Obeng-Marnu, D Sileo, W Brannon, ... arXiv preprint arXiv:2310.16787, 2023 | 22 | 2023 |
| Technology-enabled disinformation: Summary, lessons, and recommendations J Akers, G Bansal, G Cadamuro, C Chen, Q Chen, L Lin, P Mulcaire, ... arXiv preprint arXiv:1812.09383, 2018 | 21 | 2018 |
Marco Tulio RibeiroGoogle DeepMind在 cs.washington.edu 的电子邮件经过验证
