Cross-lingual ability of multilingual bert: An empirical study Z Wang, S Mayhew, D Roth arXiv preprint arXiv:1912.07840, 2019 | 364 | 2019 |
Extending multilingual BERT to low-resource languages Z Wang, S Mayhew, D Roth arXiv preprint arXiv:2004.13640, 2020 | 125 | 2020 |
Crossweigh: Training named entity tagger from imperfect annotations Z Wang, J Shang, L Liu, L Lu, J Liu, J Han arXiv preprint arXiv:1909.01441, 2019 | 113 | 2019 |
Discriminative topic mining via category-name guided text embedding Y Meng, J Huang, G Wang, Z Wang, C Zhang, Y Zhang, J Han Proceedings of The Web Conference 2020, 2121-2132, 2020 | 81 | 2020 |
X-class: Text classification with extremely weak supervision Z Wang, D Mekala, J Shang arXiv preprint arXiv:2010.12794, 2020 | 80 | 2020 |
Ucphrase: Unsupervised context-aware quality phrase tagging X Gu, Z Wang, Z Bi, Y Meng, L Liu, J Han, J Shang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 38 | 2021 |
A comparative atlas of single-cell chromatin accessibility in the human brain YE Li, S Preissl, M Miller, ND Johnson, Z Wang, H Jiao, C Zhu, Z Wang, ... Science 382 (6667), eadf7044, 2023 | 34 | 2023 |
Clusterllm: Large language models as a guide for text clustering Y Zhang, Z Wang, J Shang arXiv preprint arXiv:2305.14871, 2023 | 31 | 2023 |
Toxicchat: Unveiling hidden challenges of toxicity detection in real-world user-ai conversation Z Lin, Z Wang, Y Tong, Y Wang, Y Guo, Y Wang, J Shang arXiv preprint arXiv:2310.17389, 2023 | 30 | 2023 |
Single-cell analysis of chromatin accessibility in the adult mouse brain S Zu, YE Li, K Wang, EJ Armand, S Mamde, ML Amaral, Y Wang, A Chu, ... Nature 624 (7991), 378-389, 2023 | 21 | 2023 |
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 |
Goal-driven explainable clustering via language descriptions Z Wang, J Shang, R Zhong arXiv preprint arXiv:2305.13749, 2023 | 18 | 2023 |
Misusing tools in large language models with visual adversarial examples X Fu, Z Wang, S Li, RK Gupta, N Mireshghallah, T Berg-Kirkpatrick, ... arXiv preprint arXiv:2310.03185, 2023 | 12 | 2023 |
Karthikeyan k, jamaal hay, michael shur, jennifer sheffield, and dan roth. 2019b. university of pennsylvania lorehlt 2019 submission S Mayhew, T Tsygankova, F Marini, Z Wang, J Lee, X Yu, X Fu, W Shi, ... Tech. Rep., Technical report, Technical report, 2019 | 12 | 2019 |
Unsupervised word embedding learning by incorporating local and global contexts Y Meng, J Huang, G Wang, Z Wang, C Zhang, J Han Frontiers in big Data 3, 9, 2020 | 11 | 2020 |
Wedef: Weakly supervised backdoor defense for text classification L Jin, Z Wang, J Shang arXiv preprint arXiv:2205.11803, 2022 | 10 | 2022 |
Formulating few-shot fine-tuning towards language model pre-training: a pilot study on named entity recognition Z Wang, K Zhao, Z Wang, J Shang arXiv preprint arXiv:2205.11799, 2022 | 9 | 2022 |
A benchmark on extremely weakly supervised text classification: Reconcile seed matching and prompting approaches Z Wang, T Wang, D Mekala, J Shang arXiv preprint arXiv:2305.12749, 2023 | 7 | 2023 |
Metaie: Distilling a meta model from llm for all kinds of information extraction tasks L Peng, Z Wang, F Yao, Z Wang, J Shang arXiv preprint arXiv:2404.00457, 2024 | 6 | 2024 |
Answer is all you need: Instruction-following text embedding via answering the question L Peng, Y Zhang, Z Wang, J Srinivasa, G Liu, Z Wang, J Shang arXiv preprint arXiv:2402.09642, 2024 | 5 | 2024 |