Lan, Yanyan

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

GET: a foundation model of transcription across human cell types

Fu, X., Mo, S., Buendia, A., Laurent, A., Shao, A., Alvares-Torres, M. D. M., Yu, T., Tan, J., Su, J., Sagatelian, R., et al. (2023) · Nature

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 130

Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers

Ng, F. Y. C., Thirunavukarasu, A. J., Cheng, H., Tan, T. F., Gutierrez, L., Lan, Y., Ong, J. C. L., Chong, Y. S., Ngiam, K. Y., Ho, D., et al. (2023) · Cell Reports Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 113

Harnessing the potential of large language models in medical education: promise and pitfalls

Benítez, T. M., Xu, Y., Boudreau, J. D., Kow, A. W. C., Bello, F., Van Phuoc, L., Wang, X., Sun, X., Leung, G. K.-K., Lan, Y., et al. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Education

Cited by 100

Adaptive Information Seeking for Open-Domain Question Answering

Zhu, Y., Pang, L., Lan, Y., Shen, H., & Cheng, X. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Information Retrieval and Search BehaviorTopic Modeling

Cited by 24

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning

Wang, X., Zhang, H., Zhao, S., Zou, Y., Chen, H., Ding, Z., Cheng, B., & Lan, Y. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Speech and dialogue systemsTopic Modeling

Cited by 4