| Uncertainty in natural language processing: Sources, quantification, and applications M Hu, Z Zhang, S Zhao, M Huang, B Wu arXiv preprint arXiv:2306.04459, 2023 | 14 | 2023 |
| Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction M Hu, Y Bai, Y Wu, Z Zhang, L Zhang, H Gao, S Zhao, M Huang Findings of the Association for Computational Linguistics: ACL 2023, 2023 | 9 | 2023 |
| E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Z Zhang, M Hu, S Zhao, M Huang, H Wang, L Liu, Z Zhang, Z Liu, B Wu Findings of the Association for Computational Linguistics: ACL 2023, 2023 | 7 | 2023 |
| LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty Z Zhang, Y Zhao, H Gao, M Hu ACM WebConf (WWW'2024), 2024 | 3 | 2024 |
| RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data W Haotian, Z Zhang, M Hu, Q Wang, L Chen, Y Bian, B Wu Findings of the Association for Computational Linguistics: EMNLP 2023, 7246-7257, 2023 | 1 | 2023 |
| Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction Y Lin, Z Zhang, M Hu, Y Sun, Y Zhang Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| Coreference Graph Guidance for Mind-Map Generation Z Zhang, M Hu, Y Bai, Z Zhang AAAI 2024, 2023 | | 2023 |
