| On human predictions with explanations and predictions of machine learning models: A case study on deception detection V Lai, C Tan Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 420 | 2019 |
| Towards a science of human-ai decision making: a survey of empirical studies V Lai, C Chen, QV Liao, A Smith-Renner, C Tan arXiv preprint arXiv:2112.11471, 2021 | 241* | 2021 |
| " Why is' Chicago'deceptive?" Towards Building Model-Driven Tutorials for Humans V Lai, H Liu, C Tan Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 144 | 2020 |
| 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 | 119 | 2022 |
| Understanding the effect of out-of-distribution examples and interactive explanations on human-ai decision making H Liu, V Lai, C Tan Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-45, 2021 | 119 | 2021 |
| Promoting rich discussions in mathematics classrooms: Using personalized, automated feedback to support reflection and instructional change J Jacobs, K Scornavacco, C Harty, A Suresh, V Lai, T Sumner Teaching and Teacher Education 112, 103631, 2022 | 59 | 2022 |
| Assessing the language of chat for teamwork dialogue A Shibani, E Koh, V Lai, KJ Shim Journal of Educational Technology & Society 20 (2), 224-237, 2017 | 40 | 2017 |
| Using transformers to provide teachers with personalized feedback on their classroom discourse: The TalkMoves application A Suresh, J Jacobs, V Lai, C Tan, W Ward, JH Martin, T Sumner arXiv preprint arXiv:2105.07949, 2021 | 38* | 2021 |
| Toward a foundation model for time series data CCM Yeh, X Dai, H Chen, Y Zheng, Y Fan, A Der, V Lai, Z Zhuang, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 31 | 2023 |
| Selective explanations: Leveraging human input to align explainable ai V Lai, Y Zhang, C Chen, QV Liao, C Tan Proceedings of the ACM on Human-Computer Interaction 7 (CSCW2), 1-35, 2023 | 25 | 2023 |
| Many faces of feature importance: Comparing built-in and post-hoc feature importance in text classification V Lai, JZ Cai, C Tan arXiv preprint arXiv:1910.08534, 2019 | 23 | 2019 |
| CareerMapper: An automated resume evaluation tool V Lai, KJ Shim, RJ Oentaryo, PK Prasetyo, C Vu, EP Lim, D Lo 2016 IEEE International conference on big data (big data), 4005-4007, 2016 | 18 | 2016 |
| Using ai to promote equitable classroom discussions: The talkmoves application A Suresh, J Jacobs, C Clevenger, V Lai, C Tan, JH Martin, T Sumner International conference on artificial intelligence in education, 344-348, 2021 | 13 | 2021 |
| Evaluating evaluation metrics: A framework for analyzing NLG evaluation metrics using measurement theory Z Xiao, S Zhang, V Lai, QV Liao arXiv preprint arXiv:2305.14889, 2023 | 11 | 2023 |
| An exploration of post-editing effectiveness in text summarization V Lai, A Smith-Renner, K Zhang, R Cheng, W Zhang, J Tetreault, ... arXiv preprint arXiv:2206.06383, 2022 | 11 | 2022 |
| Sharpness-aware graph collaborative filtering H Chen, CCM Yeh, Y Fan, Y Zheng, J Wang, V Lai, M Das, H Yang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
| Evaluating nlg evaluation metrics: A measurement theory perspective Z Xiao, S Zhang, V Lai, QV Liao | 7 | 2023 |
| Harnessing explanations to bridge ai and humans V Lai, S Carton, C Tan arXiv preprint arXiv:2003.07370, 2020 | 7 | 2020 |
| Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation V Lai, H Chen, CCM Yeh, M Xu, Y Cai, H Yang Proceedings of the 17th ACM Conference on Recommender Systems, 791-797, 2023 | 6 | 2023 |
| Analysis of star ratings in consumer reviews: A case study of Yelp M Prithivirajan, V Lai, KJ Shim, KP Shung 2015 IEEE International Conference on Big Data (Big Data), 2954-2956, 2015 | 5 | 2015 |
