| Learning robust representations by projecting superficial statistics out H Wang, Z He, ZC Lipton, EP Xing ICLR 2019, 2019 | 246 | 2019 |
| Leveraging gloss knowledge in neural word sense disambiguation by hierarchical co-attention F Luo, T Liu, Z He, Q Xia, Z Sui, B Chang EMNLP, 1402-1411, 2018 | 77 | 2018 |
| Weakly supervised contrastive learning for chest x-ray report generation A Yan, Z He, X Lu, J Du, E Chang, A Gentili, J McAuley, CN Hsu EMNLP2021-finding, 2021 | 67 | 2021 |
| Learning concise and descriptive attributes for visual recognition A Yan, Y Wang, Y Zhong, C Dong, Z He, Y Lu, WY Wang, J Shang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 43 | 2023 |
| Understanding reading attention distribution during relevance judgement X Li, Y Liu, J Mao, Z He, M Zhang, S Ma Proceedings of the 27th ACM international conference on information and …, 2018 | 40 | 2018 |
| Controlling bias exposure for fair interpretable predictions Z He, Y Wang, J McAuley, BP Majumder EMNLP2022-finding, 2022 | 21 | 2022 |
| Detect and perturb: Neutral rewriting of biased and sensitive text via gradient-based decoding Z He, BP Majumder, J McAuley EMNLP2021-finding, 2021 | 21 | 2021 |
| Robust and interpretable medical image classifiers via concept bottleneck models A Yan, Y Wang, Y Zhong, Z He, P Karypis, Z Wang, C Dong, A Gentili, ... arXiv preprint arXiv:2310.03182, 2023 | 20 | 2023 |
| Leashing the inner demons: Self-detoxification for language models C Xu, Z He, Z He, J McAuley Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11530 …, 2022 | 18 | 2022 |
| Cognitive bias in high-stakes decision-making with llms J Echterhoff, Y Liu, A Alessa, J McAuley, Z He arXiv preprint arXiv:2403.00811, 2024 | 15 | 2024 |
| Targeted data generation: Finding and fixing model weaknesses Z He, MT Ribeiro, F Khani ACL 2023, 2023 | 9 | 2023 |
| A large-scale study of mobile search examination behavior X Wang, N Su, Z He, Y Liu, S Ma The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 9 | 2018 |
| Medeval: A multi-level, multi-task, and multi-domain medical benchmark for language model evaluation Z He, Y Wang, A Yan, Y Liu, EY Chang, A Gentili, J McAuley, CN Hsu EMNLP 2023, 2023 | 6 | 2023 |
| Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation Y Wang, Z He, Z He, H Xu, J McAuley Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9133-9141, 2024 | 4 | 2024 |
| InterFair: Debiasing with natural language feedback for fair interpretable predictions BP Majumder, Z He, J McAuley EMNLP 2023, 2022 | 4 | 2022 |
| A Two-Stage Model for User's Examination Behavior in Mobile Search J Mao, Y Liu, N Kando, Z He, M Zhang, S Ma Proceedings of the 2018 Conference on Human Information Interaction …, 2018 | 4 | 2018 |
| Farzi Data: Autoregressive Data Distillation N Sachdeva, Z He, WC Kang, J Ni, DZ Cheng, J McAuley arXiv preprint arXiv:2310.09983, 2023 | 3 | 2023 |
| “Nothing abnormal”: Disambiguating medical reports via contrastive knowledge infusion Z He, A Yan, A Gentili, J McAuley, CN Hsu Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14232 …, 2023 | 3 | 2023 |
| Synthetic pre-training tasks for neural machine translation Z He, G Blackwood, R Panda, J McAuley, R Feris ACL 2023, 2022 | 3 | 2022 |
| Rapid and high-quality 3D fusion of heterogeneous CT and MRI data for the human brain Z He, L Zhu, M Li, J Li, Y Chen, Y Luo Science China. Information Sciences 62 (10), 204101, 2019 | 3 | 2019 |