Jingye Yang

According to our database, Jingye Yang authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT.

Jingye Yang, Cong Liu, Wendy Deng, Da Wu, Chunhua Weng, Yunyun Zhou, Kai Wang

Patterns, January, 2024

Exploring the reversal curse and other deductive logical reasoning in BERT and GPT-based large language models.

Da Wu, Jingye Yang, Kai Wang

Patterns, 2024

Fine-tuning large language models for rare disease concept normalization.

Andy Wang, Cong Liu, Jingye Yang, Chunhua Weng

J. Am. Medical Informatics Assoc., 2024

Fair Streaming Feature Selection.

Zhangling Duan, Tianci Li, Xingyu Wu, Zhaolong Ling, Jingye Yang, Zhaohong Jia

CoRR, 2024

2023

Classification of integers based on residue classes via modern deep learning algorithms.

Da Wu, Jingye Yang, Mian Umair Ahsan, Kai Wang

Patterns, December, 2023

Multimodal Machine Learning Combining Facial Images and Clinical Texts Improves Diagnosis of Rare Genetic Diseases.

Da Wu, Jingye Yang, Steven Klein, Cong Liu, Tzung-Chien Hsieh, Peter Krawitz, Chunhua Weng, Gholson J. Lyon, Jennifer M. Kalish, Kai Wang

CoRR, 2023

Not All Large Language Models (LLMs) Succumb to the "Reversal Curse": A Comparative Study of Deductive Logical Reasoning in BERT and GPT Models.

Jingye Yang, Da Wu, Kai Wang

CoRR, 2023

On the Prime Number Divisibility by Deep Learning.

Da Wu, Jingye Yang, Mian Umair Ahsan, Kai Wang

CoRR, 2023