4 papers
Toward Federated Large Language Models in Medicine: A Parameter-Efficient Framework for Privacy-Preserving, Multi-Institutional Adaptation
Anran Li, Yuanyuan Chen, Wenjun Long +16
Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and governance constraints…
BioPulse-QA: A Dynamic Biomedical Question-Answering Benchmark for Evaluating Factuality, Robustness, and Bias in Large Language Models
Kriti Bhattarai, Vipina K. Keloth, Donald Wright +3
Objective: Large language models (LLMs) are increasingly applied in biomedical settings, and existing benchmark datasets have played an important role in supporting model developme…
Toward Automated Cognitive Assessment in Parkinson's Disease Using Pretrained Language Models
Varada Khanna, Nilay Bhatt, Ikgyu Shin +4
Understanding how individuals with Parkinson's disease (PD) describe cognitive experiences in their daily lives can offer valuable insights into disease-related cognitive and emoti…
CLAP: Coreference-Linked Augmentation for Passage Retrieval
Huanwei Xu, Lin Xu, Liang Yuan
Large Language Model (LLM)-based passage expansion has shown promise for enhancing first-stage retrieval, but often underperforms with dense retrievers due to semantic drift and mi…