AI RESEARCH
Sparse Spectral LoRA: Routed Experts for Medical VLMs
arXiv CS.CV
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ArXi:2604.01310v1 Announce Type: new Large vision-language models (VLMs) excel on general benchmarks but often lack robustness in medical imaging, where heterogeneous supervision induces cross-dataset interference and sensitivity to data regime (i.e., how the supervisory signals are mixed). In realistic clinical workflows, data and tasks arrive sequentially, so naive continual