1 citations · 1 across the 2 of their papers we have counts for
4 papers
Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges
Yisong Chen, Yifan Gao, Sijing Yu +2
We present a review on the applications of large language models (LLMs) in health, e.g., social media analysis, clinical conversational agents, therapy support tools, prompt engine…
Evaluating LLM Robustness Under Domain-Specific Prompt Perturbations in Public Health Applications
Chuqing Zhao, Haochen Yang
Large language models (LLMs) are increasingly applied in public health applications, yet their robustness to non-clinical user inputs remains underexplored. We propose a domain spe…
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference
Ruqi Liao, Chuqing Zhao, Jin Li +4
In response to the rising interest in large multimodal models, we introduce Cross-Attention Token Pruning (CATP), a precision-focused token pruning method. Our approach leverages c…
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review
Yisong Chen, Chuqing Zhao, Yixin Xu +2
This paper systematically reviews advancements in deep learning (DL) techniques for financial fraud detection, a critical issue in the financial sector. Using the Kitchenham system…