most citedLLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction

8 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2025

Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes

Guanchen Wu, Yuzhang Xie, Huanwei Wu +4

Integrating novel medical concepts and relationships into existing ontologies can significantly enhance their coverage and utility for both biomedical research and clinical applica…

cs.LG2025

RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training

Tao Ren, Jinyang Jiang, Hui Yang +10

Reinforcement learning with verifiable reward has recently emerged as a central paradigm for post-training large language models (LLMs); however, prevailing mean-based methods, suc…

cs.CL2024★ 8 cited

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction

Hejie Cui, Zhuocheng Shen, Jieyu Zhang +4

Electronic health records (EHRs) contain valuable patient data for health-related prediction tasks, such as disease prediction. Traditional approaches rely on supervised learning m…