1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
Yuqi Wang, Zeqiang Wang, Wei Wang +4
Safe and reliable natural language inference is critical for extracting insights from clinical trial reports but poses challenges due to biases in large pre-trained language models…
cs.CL2023★ 1 cited
Generating Valid and Natural Adversarial Examples with Large Language Models
Zimu Wang, Wei Wang, Qi Chen +2
Deep learning-based natural language processing (NLP) models, particularly pre-trained language models (PLMs), have been revealed to be vulnerable to adversarial attacks. However,…
cs.CL2023
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
Yuqi Wang, Zeqiang Wang, Wei Wang +4
In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusi…