11 papers
When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening
Jianfeng Zhu, Megan Korhummel, Ruoming Jin +1
As demand for mental health care outpaces clinician-delivered assessment, scalable screening tools are increasingly needed. Large language models (LLMs) may identify psychiatric ri…
Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection
Kieu Dang, Phung Lai, NhatHai Phan +2
Proprietary large language models (LLMs) face risks of intellectual property (IP) violation, as adversaries can replicate an LLM by collecting input-output pairs to train a surroga…
What Do AI Agents Talk About? Discourse and Architectural Constraints in the First AI-Only Social Network
Taksch Dube, Jianfeng Zhu, NHatHai Phan +1
Moltbook is the first large-scale social network built for autonomous AI agent-to-agent interaction. Early studies on Moltbook have interpreted its agent discourse as evidence of p…
Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss
Ruixin Guo, Xinyu Li, Hao Zhou +2
Linear autoencoders (LAEs) have gained increasing popularity in recommender systems due to their simplicity and strong empirical performance. Most LAE models, including the Emphasi…
Understanding Risk and Dependency in AI Chatbot Use from User Discourse
Jianfeng Zhu, Karin G. Coifman, Ruoming Jin
Generative AI systems are increasingly embedded in everyday life, yet empirical understanding of how psychological risk associated with AI use emerges, is experienced, and is regul…
Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts
Jianfeng Zhu, Hailong Jiang, Yulan Wang +3
Early substance use during adolescence increases the risk of later substance use disorders and mental health problems, yet the emotional and contextual factors driving these behavi…