Liu, Yixin

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 463

A generalist vision-language foundation model for diverse biomedical tasks

Zhang, K., Zhou, R., Adhikarla, E., Yan, Z., Liu, Y., Yu, J., Liu, Z., Chen, X., Davison, B. D., Ren, H., et al. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 333

ExplainaBoard: An Explainable Leaderboard for NLP

Liu, P., Fu, J., Xiao, Y., Yuan, W., Chang, S., Dai, J., Liu, Y., Ye, Z., & Neubig, G. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 35

FOLIO: Natural Language Reasoning with First-Order Logic

Han, S., Schoelkopf, H., Zhao, Y., Qi, Z., Riddell, M., Zhou, W., Coady, J., Peng, D., Qiao, Y., Benson, L., et al. (2022) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 35

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Shi, J., Liu, Y., Zhou, P., & Sun, L. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 26