Publications (5)
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes
Yang Zhou, Zhenting Sheng, Mingrui Tan +6
Effective clinical history taking is a foundational yet underexplored component of clinical reasoning. While large language models (LLMs) have shown promise on static benchmarks, t…
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
Zhenyu Qian, Yiming Qian, Yuting Song +4
Handling graph data is one of the most difficult tasks. Traditional techniques, such as those based on geometry and matrix factorization, rely on assumptions about the data relatio…
Cross-Linguistic Persona-Driven Data Synthesis for Robust Multimodal Cognitive Decline Detection
Rui Feng, Zhiyao Luo, Liuyu Wu +6
Speech-based digital biomarkers represent a scalable, non-invasive frontier for the early identification of Mild Cognitive Impairment (MCI). However, the development of robust diag…
R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models
Tianyi Yin, Jingwei Wang, Chenze Wang +7
Pre-trained models have demonstrated exceptional generalization capabilities in time-series forecasting; however, adapting them to evolving data distributions remains a significant…
CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment
Rui Feng, Zhiyao Luo, Wei Wang +5
Automatic assessment of cognitive impairment from spontaneous speech offers a promising, non-invasive avenue for early cognitive screening. However, current approaches often lack g…