| Survey on factuality in large language models: Knowledge, retrieval and domain-specificity C Wang, X Liu, Y Yue, X Tang, T Zhang, C Jiayang, Y Yao, W Gao, X Hu, ... arXiv preprint arXiv:2310.07521, 2023 | 181 | 2023 |
| RockNER: A simple method to create adversarial examples for evaluating the robustness of named entity recognition models BY Lin, W Gao, J Yan, R Moreno, X Ren arXiv preprint arXiv:2109.05620, 2021 | 44 | 2021 |
| Factmix: Using a few labeled in-domain examples to generalize to cross-domain named entity recognition L Yang, L Yuan, L Cui, W Gao, Y Zhang arXiv preprint arXiv:2208.11464, 2022 | 25 | 2022 |
| Universal machine-learning algorithm for predicting adsorption performance of organic molecules based on limited data set: Importance of feature description C Huang, W Gao, Y Zheng, W Wang, Y Zhang, K Liu Science of The Total Environment 859, 160228, 2023 | 9 | 2023 |
| Open information extraction from 2007 to 2022–a survey P Liu, W Gao, W Dong, S Huang, Y Zhang arXiv preprint arXiv:2208.08690, 2022 | 9 | 2022 |
| A survey on open Information Extraction from rule-based model to large language model L Pai, W Gao, W Dong, L Ai, Z Gong, S Huang, L Zongsheng, E Hoque, ... Findings of the Association for Computational Linguistics: EMNLP 2024, 9586-9608, 2024 | 2 | 2024 |
| Empirical Prior for Text Autoencoders Y Yin, W Gao, H Wu, J Yan, Y Zhang Findings of the Association for Computational Linguistics: EMNLP 2024, 13628 …, 2024 | | 2024 |
