Metatool benchmark for large language models: Deciding whether to use tools and which to use Y Huang, J Shi, Y Li, C Fan, S Wu, Q Zhang, Y Liu, P Zhou, Y Wan, ... arXiv preprint arXiv:2310.03128, 2023 | 71 | 2023 |
Metacloak: Preventing unauthorized subject-driven text-to-image diffusion-based synthesis via meta-learning Y Liu, C Fan, Y Dai, X Chen, P Zhou, L Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 13 | 2024 |
Toward robust imperceptible perturbation against unauthorized text-to-image diffusion-based synthesis Y Liu, C Fan, Y Dai, X Chen, P Zhou, L Sun arXiv preprint arXiv:2311.13127 3, 2023 | 12 | 2023 |
Graphcloak: Safeguarding task-specific knowledge within graph-structured data from unauthorized exploitation Y Liu, C Fan, X Chen, P Zhou, L Sun arXiv preprint arXiv:2310.07100, 2023 | 4 | 2023 |
Unlearnable graph: Protecting graphs from unauthorized exploitation Y Liu, C Fan, P Zhou, L Sun arXiv preprint arXiv:2303.02568, 2023 | 4 | 2023 |
1+ 1> 2: Can large language models serve as cross-lingual knowledge aggregators? Y Huang, C Fan, Y Li, S Wu, T Zhou, X Zhang, L Sun arXiv preprint arXiv:2406.14721, 2024 | 3 | 2024 |
1+ 1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? Y Huang, C Fan, Y Li, S Wu, T Zhou, X Zhang, L Sun EMNLP, 2024 | | 2024 |
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Synthesis Via Meta-learning Y Liu, C Fan, Y Dai, X Chen, P Zhou, L Sun | | |