Author

Li Zhang

3 papers indexed here

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Preprint Sep 2026

What Personal Information Improves LLM-Based Next-Location Prediction?

Large language models (LLMs) are increasingly used for individual next-location prediction, with personal information easily added to prompts alongside mobility history. Yet the incremental predictive value of such information remains unclear. Using linked sociodemographic records and mobility traces from 5,000 Shenzhe...

Xin Wang, Páraic Carroll, Kerry A. Nice et al. · 0 citations

Open access Sep 2026

Identifying Patients with Rapid Progression to Diabetic Retinopathy in Type 2 Diabetes: A Simple Prediction Model for Community Settings

Background Diabetic retinopathy (DR) progression in community-based type 2 diabetes (T2D) remains challenging to predict. This multi-site cohort study aimed to identify novel metabolic risk factors beyond glucose control and develop a resource-adaptable model for prioritizing DR risk screening. Methods A prospective, m...

Jing Zhao, Zi-Wei Kang, Dong-Ling Niu et al. · Diabetes, Metabolic Syndrome... · 0 citations

Preprint Sep 2026

Who You Are Adds Nothing Detectable to Where You Go Next: Sociodemographic Conditioning in LLM Next-Location Prediction

Large language models (LLMs) are increasingly used for individual next-location prediction, while sociodemographic conditioning is common in LLM-based travel simulation. Yet the incremental predictive value of sociodemographic attributes remains unclear. To directly test this contribution, sociodemographic records were...

Xin Wang, Páraic Carroll, Kerry A. Nice et al. · 0 citations