Zhuang, Yuchen

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Kong, L., Jiang, H., Zhuang, Y., Lyu, J., Zhao, T., & Zhang, C. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 58

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Shi, W., Xu, R., Zhuang, Y., Yu, Y., Zhang, J., Wu, H., Zhu, Y., Ho, J. C., Yang, C., & Wang, M. D. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 54

Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making

Shi, W., Zhuang, Y., Zhu, Y., Iwinski, H., Wattenbarger, M., & Wang, M. D. (2023) · Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 47

HYDRA: Model Factorization Framework for Black-Box LLM Personalization

Zhuang, Y., Sun, H., Yu, Y., Qiang, R., Wang, Q., Zhang, C., & Dai, B. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 6