most citedEnhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.AI2025★ 1 cited

Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives

Xinyao Ma, Rui Zhu, Zihao Wang +5

Large Language Models (LLMs) have demonstrated impressive capabilities in role-playing scenarios, particularly in simulating domain-specific experts using tailored prompts. This ab…

cs.DC2024

Federated Graph Learning with Adaptive Importance-based Sampling

Anran Li, Yuanyuan Chen, Chao Ren +5

For privacy-preserving graph learning tasks involving distributed graph datasets, federated learning (FL)-based GCN (FedGCN) training is required. A key challenge for FedGCN is sca…