3 citations · 7 across the 14 of their papers we have counts for
5 papers · 1 filter
Reinventing Clinical Dialogue: Agentic Paradigms for LLM Enabled Healthcare Communication
Xiaoquan Zhi, Hongke Zhao, Likang Wu +2
Clinical dialogue represents a complex duality requiring both the empathetic fluency of natural conversation and the rigorous precision of evidence-based medicine. While Large Lang…
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…
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
Liping Liu, Chunhong Zhang, Likang Wu +4
Self-reflection for Large Language Models (LLMs) has gained significant attention. Existing approaches involve models iterating and improving their previous responses based on LLMs…
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…