| MVAN: Multi-view attention networks for fake news detection on social media S Ni, J Li, HY Kao IEEE Access 9, 106907-106917, 2021 | 72 | 2021 |
| An integrated framework for multi-objective optimization of building performance: Carbon emissions, thermal comfort, and global cost R Chen, YS Tsay, S Ni Journal of Cleaner Production 359, 131978, 2022 | 30 | 2022 |
| Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection J Li, S Ni, HY Kao Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 30 | 2021 |
| Birds of a feather rumor together? Exploring homogeneity and conversation structure in social media for rumor detection J Li, S Ni, HY Kao IEEE Access 8, 212865-212875, 2020 | 18 | 2020 |
| PSForest: Improving Deep Forest via Feature Pooling and Error Screening S Ni, HY Kao Asian Conference on Machine Learning (ACML 2020), 769-781, 2020 | 10 | 2020 |
| HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media S Ni, J Li, HY Kao Sensors 22 (17), 6652, 2022 | 8* | 2022 |
| DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding S Ni, J Li, M Yang, HY Kao IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 6* | 2023 |
| Electra is a zero-shot learner, too S Ni, HY Kao arXiv preprint arXiv:2207.08141, 2022 | 6 | 2022 |
| Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models S Ni, D Chen, C Li, X Hu, R Xu, M Yang ACL 2024, 2023 | 5 | 2023 |
| KPT++: Refined knowledgeable prompt tuning for few-shot text classification S Ni, HY Kao Knowledge-Based Systems 274, 110647, 2023 | 5 | 2023 |
| History, Development, and Principles of Large Language Models-An Introductory Survey Z Chu, S Ni, Z Wang, X Feng, C Li, X Hu, R Xu, M Yang, W Zhang arXiv preprint arXiv:2402.06853, 2024 | 3 | 2024 |
| Masked siamese prompt tuning for few-shot natural language understanding S Ni, HY Kao IEEE Transactions on Artificial Intelligence, 2023 | 3 | 2023 |
| R-AT: Regularized adversarial training for natural language understanding S Ni, J Li, HY Kao Findings of the Association for Computational Linguistics: EMNLP 2022, 6427-6440, 2022 | 3 | 2022 |
| True or False: Does the Deep Learning Model Learn to Detect Rumors? S Ni, J Li, HY Kao International Conference on Technologies and Applications of Artificial …, 2021 | 3 | 2021 |
| MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property S Ni, M Tan, Y Bai, F Niu, M Yang, B Zhang, R Xu, X Chen, C Li, X Hu, ... Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
| EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection J Li, R Li, S Ni, HY Kao Neurocomputing 563, 126935, 2024 | 1 | 2024 |
| II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models Z Liu, F Fang, X Feng, X Du, C Zhang, Z Wang, Y Bai, Q Zhao, L Fan, ... arXiv preprint arXiv:2406.05862, 2024 | | 2024 |
| Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training F Fang, Y Bai, S Ni, M Yang, X Chen, R Xu ACL 2024, 2024 | | 2024 |
| COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning Y Bai, X Du, Y Liang, Y Jin, Z Liu, J Zhou, T Zheng, X Zhang, N Ma, ... arXiv preprint arXiv:2403.18058, 2024 | | 2024 |
| Layer-wise Regularized Dropout for Neural Language Models S Ni, M Yang, R Xu, C Li, X Hu Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
Hung-Yu KaoNational Cheng Kung University在 mail.ncku.edu.tw 的电子邮件经过验证
