| Provable Robust Watermarking for AI-Generated Text X Zhao, P Ananth, L Li, YX Wang ICLR 2024, 2023 | 42 | 2023 |
| Protecting Language Generation Models via Invisible Watermarking X Zhao, YX Wang, L Li ICML 2023, 2023 | 37 | 2023 |
| Predicting Alzheimers Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging J Guo, W Qiu, X Li, X Zhao, N Guo, Q Li 2019 IEEE International Conference on Big Data (Big Data), 5359-5363, 2019 | 33 | 2019 |
| Pre-trained Language Models Can be Fully Zero-Shot Learners X Zhao, S Ouyang, Z Yu, M Wu, L Li ACL 2023, 2022 | 20 | 2022 |
| A Survey on Detection of LLMs-Generated Content X Yang, L Pan, X Zhao, H Chen, L Petzold, WY Wang, W Cheng arXiv preprint arXiv:2310.15654, 2023 | 14 | 2023 |
| Provably Confidential Language Modelling X Zhao, L Li, YX Wang NAACL 2022, 2022 | 14 | 2022 |
| Distillation-Resistant Watermarking for Model Protection in NLP X Zhao, L Li, YX Wang Findings of EMNLP 2022, 2022 | 10 | 2022 |
| An Optimal Reduction of TV-Denoising to Adaptive Online Learning D Baby, X Zhao, YX Wang AISTATS 2021, 2021 | 9 | 2021 |
| Invisible Image Watermarks Are Provably Removable Using Generative AI X Zhao, K Zhang, Z Su, S Vasan, I Grishchenko, C Kruegel, G Vigna, ... arXiv preprint arXiv:2306.01953, 2023 | 6* | 2023 |
| Weak-to-Strong Jailbreaking on Large Language Models X Zhao, X Yang, T Pang, C Du, L Li, YX Wang, WY Wang arXiv preprint arXiv:2401.17256, 2024 | 5 | 2024 |
| Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews W Liang, Z Izzo, Y Zhang, H Lepp, H Cao, X Zhao, L Chen, H Ye, S Liu, ... arXiv preprint arXiv:2403.07183, 2024 | 4 | 2024 |
| "Private Prediction Strikes Back!'' Private Kernelized Nearest Neighbors with Individual Renyi Filter Y Zhu, X Zhao, C Guo, YX Wang UAI 2023, 2023 | 3 | 2023 |
| Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation X Zhao, Z Yu, M Wu, L Li Findings of ACL 2022, 2022 | 3 | 2022 |
| Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models W Xu, G Zhu, X Zhao, L Pan, L Li, WY Wang arXiv preprint arXiv:2402.11436, 2024 | 2 | 2024 |
| Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs X Zhao, L Li, YX Wang arXiv preprint arXiv:2402.05864, 2024 | 2 | 2024 |
| A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning X Zhao, J Xue, J Yu, X Li, H Yang arXiv preprint arXiv:2007.11380, 2020 | 2 | 2020 |
| Multi-Size Computer-Aided Diagnosis of Positron Emission Tomography Images Using Graph Convolutional Networks X Zhao, X Li, N Guo, Z Zhou, X Meng, Q Li IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 837-840, 2019 | 2 | 2019 |
| Mapping the Increasing Use of LLMs in Scientific Papers W Liang, Y Zhang, Z Wu, H Lepp, W Ji, X Zhao, H Cao, S Liu, S He, ... arXiv preprint arXiv:2404.01268, 2024 | 1 | 2024 |
| GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick J Fu, X Zhao, R Yang, Y Zhang, J Chen, Y Xiao arXiv preprint arXiv:2402.12948, 2024 | | 2024 |
| DE-COP: Detecting Copyrighted Content in Language Models Training Data AV Duarte, X Zhao, AL Oliveira, L Li arXiv preprint arXiv:2402.09910, 2024 | | 2024 |
Yu-Xiang WangAssociate Professor of Computer Science, UC Santa Barbaracs.ucsb.edu의 이메일 확인됨
