1 citations · 2 across the 6 of their papers we have counts for
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Trustworthy and Fair SkinGPT-R1 for Democratizing Dermatological Reasoning across Diverse Ethnicities
Yuhao Shen, Zhangtianyi Chen, Yuanhao He +14
The clinical translation of dermatological AI is hindered by opaque reasoning and systematic performance disparities across skin tones. Here we present SkinGPT-R1, a multimodal lar…
DySTop
Yizhou Shi, Qianpiao Ma, Yan Xu +4
Federated Learning (FL) has emerged as a potential distributed learning paradigm that enables model training on edge devices (i.e., workers) while preserving data privacy. However,…
FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
Yushan Zhao, Jinyuan He, Donglai Chen +5
Federated learning (FL) is a decentralized collaborative machine learning (ML) technique. It provides a solution to the issues of isolated data islands and data privacy leakage in…
CIRCUIT: A Benchmark for Circuit Interpretation and Reasoning Capabilities of LLMs
Lejla Skelic, Yan Xu, Matthew Cox +3
The role of Large Language Models (LLMs) has not been extensively explored in analog circuit design, which could benefit from a reasoning-based approach that transcends traditional…