4 papers
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…
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…
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…
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…