Wang, Fei

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

Mao, C., Xu, J., Rasmussen, L., Li, Y., Adekkanattu, P., Pacheco, J., Bonakdarpour, B., Vassar, R., Shen, L., Jiang, G., et al. (2023) · Journal of Biomedical Informatics

Machine Learning in HealthcareDementia and Cognitive Impairment Research

Cited by 67

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Du, J., Wang, Y., Zhao, W., Deng, Z., Liu, S., Lou, R., Zou, H. P., Narayanan Venkit, P., Zhang, N., Srinath, M., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 23

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

Chen, C., Yu, J., Chen, S., Liu, C., Wan, Z., Zhou, S., Luo, Y., Zhang, R., Bitterman, D., Wang, F., et al. (2024) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 5

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Du, J., Wang, Y., Zhao, W., Deng, Z., Liu, S., Lou, R., Zou, H. P., Venkit, P. N., Zhang, N., Srinath, M., et al. (2024) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 2

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases

Liu, X., Lan, B., Hu, Z., Liu, Y., Zhang, Z., Wang, F., Shieh, M., & Zhou, W. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1