TrustLLM: Trustworthiness in Large Language Models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... arXiv e-prints, arXiv: 2401.05561, 2024 | 318* | 2024 |
A review on background, technology, limitations, and opportunities of large vision models Y Liu, K Zhang, Y Li, Z Yan, C Gao, R Chen, Z Yuan, Y Huang, H Sun, ... arXiv preprint arXiv:2402.17177, 2024 | 247 | 2024 |
Llm-as-a-coauthor: The challenges of detecting llm-human mixcase C Gao, D Chen, Q Zhang, Y Huang, Y Wan, L Sun arXiv preprint arXiv:2401.05952, 2024 | 32* | 2024 |
GUI-WORLD: A GUI-oriented Video Dataset for Multimodal LLM-based Agents D Chen, Y Huang, S Wu, J Tang, H Zhou, Q Zhang, Z He, Y Bai, C Gao, ... Workshop on Video-Language Models@ NeurIPS 2024, 0 | 24* | |
Unigen: A unified framework for textual dataset generation using large language models S Wu, Y Huang, C Gao, D Chen, Q Zhang, Y Wan, T Zhou, X Zhang, ... arXiv preprint arXiv:2406.18966, 2024 | 12 | 2024 |
HonestLLM: Toward an honest and helpful large language model C Gao, S Wu, Y Huang, D Chen, Q Zhang, Z Fu, Y Wan, L Sun, X Zhang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 8* | 2024 |
CpG island definition and methylation mapping of the T2T-YAO genome M Xiao, R Wei, J Yu, C Gao, F Yang, L Zhang Genomics, Proteomics & Bioinformatics, qzae009, 2024 | 5 | 2024 |
Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles Y Huang, C Gao, Y Zhou, K Guo, X Wang, O Cohen-Sasson, M Lamparth, ... arXiv preprint arXiv:2502.06059, 2025 | | 2025 |