15 papers
Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology
Tianyu Liu, Ziqing Wang, Zhaokang Liang +12
Predicting immune biomarkers associated with the tumor immune microenvironment (TIME) is critical for advancing precision oncology, yet existing approaches are largely limited to s…
MedLatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease Diagnosis
Ziqing Wang, Lili Zhao, Kaize Ding
Rare diseases affect over million patients across more than conditions, yet no single hospital encounters enough cases of any one condition for reliable diagnosis.…
Can Post-Training Turn LLMs into Good Medical Coders? An Empirical Study of Generative ICD Coding
Ziqing Wang, Weihao Li, Shijie Chen +2
Automated International Classification of Diseases (ICD) coding is a core medical-coding task for billing, epidemiology, and clinical decision support. Generative large language mo…
Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
Tianyu Liu, Allen Xin Wang, Antonia Panescu +30
AI agents are increasingly being developed to accelerate scientific discovery, yet their practical capabilities in real research settings remain poorly understood. Existing benchma…
MedLoCoMo: A Long-Context Multi-Session Medical Dialogue Benchmark for Large Language Models
Zeyu Zhang, Ziqing Wang, Kaize Ding
MedLoCoMo is a Medical Long-Context Memory benchmark for patient-specific clinical reasoning over multi-admission medical dialogue. Existing medical QA benchmarks largely test shor…
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification
Ziqing Wang, Kaize Ding
Node classification on text-attributed graphs (TAGs) is a fundamental task with broad applications in citation analysis, social networks, and recommendation systems. Current GNN-ba…