Can model compression improve nlp fairness G Xu, Q Hu arXiv preprint arXiv:2201.08542, 2022 | 29 | 2022 |
Learning action conditions from instructional manuals for instruction understanding TL Wu, C Zhang, Q Hu, A Spangher, N Peng arXiv preprint arXiv:2205.12420, 2022 | 4 | 2022 |
ACQUIRED: A dataset for answering counterfactual questions in real-life videos TL Wu, ZY Dou, Q Hu, Y Hou, NR Chandra, M Freedman, RM Weischedel, ... arXiv preprint arXiv:2311.01620, 2023 | 3 | 2023 |
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference Q Hu, Y Zhang, K Misra, JT Rayz 2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive …, 2020 | 3 | 2020 |
Modeling Fuzzy Cluster Transitions for Topic Tracing X Jing, Y Zhang, Q Hu, JT Rayz Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of …, 2022 | 2 | 2022 |
Tracing topic transitions with temporal graph clusters X Jing, Q Hu, Y Zhang, JT Rayz arXiv preprint arXiv:2104.07836, 2021 | 1 | 2021 |
Learning Counterfactual Reasoning By Answering Counterfactual Questions From Videos Q Hu University of California, Los Angeles, 2023 | | 2023 |