5 papers
From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
Chuang Zhao, Hongke Zhao, Xiaofang Zhou +1
Contextual clinical reasoning demands robust inference grounded in complex, heterogeneous clinical records. While state-of-the-art fine-tuning, in-context learning (ICL), and retri…
Grounded by Experience: Generative Healthcare Prediction Augmented with Hierarchical Agentic Retrieval
Chuang Zhao, Hui Tang, Hongke Zhao +2
Accurate healthcare prediction is critical for improving patient outcomes and reducing operational costs. Bolstered by growing reasoning capabilities, large language models (LLMs)…
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
Chuang Zhao, Hui Tang, Hongke Zhao +1
Advanced healthcare predictions offer significant improvements in patient outcomes by leveraging predictive analytics. Existing works primarily utilize various views of Electronic…
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
Chuang Zhao, Hui Tang, Jiheng Zhang +1
Accurate healthcare prediction is essential for improving patient outcomes. Existing work primarily leverages advanced frameworks like attention or graph networks to capture the in…
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs
Chuang Zhao, Xing Su, Ming He +3
Owing to the impressive general intelligence of large language models (LLMs), there has been a growing trend to integrate them into recommender systems to gain a more profound insi…