3 papers
cs.CL2025
Robust or Suggestible? Exploring Non-Clinical Induction in LLM Drug-Safety Decisions
Siying Liu, Shisheng Zhang, Indu Bala
Large language models (LLMs) are increasingly applied in biomedical domains, yet their reliability in drug-safety prediction remains underexplored. In this work, we investigate whe…
eess.IV2024
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model
Meng Wang, Tian Lin, Aidi Lin +46
Previous foundation models for fundus images were pre-trained with limited disease categories and knowledge base. Here we introduce a knowledge-rich vision-language model (RetiZero…
eess.SP2024
WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing
Shuokang Huang, Kaihan Li, Di You +5
WiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in a non-intrusive and device-free manner, benefiting applications as diverse as smart homes a…