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cs.LG2026
One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs
Di He, Songjun Tu, Keyu Wang +2
Learning rate configuration is a fundamental aspect of modern deep learning. The prevailing practice of applying a uniform learning rate across all layers overlooks the structural…
cs.CV2026
MedFM-Robust: Benchmarking Robustness of Medical Foundation Models
Xiangxiang Cui, Tianjin Huang, Yifang Wang +2
Medical foundation models have achieved remarkable clinical performance, yet their robustness under real-world perturbations remains underexplored. We present a robustness benchmar…