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Fudan University
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SkeMex enables medical agents to evolve their reasoning capabilities by transforming raw experience into structured, reusable skills, outperforming traditional memory systems.
Parameter importance isn't forever: dynamically adapting which parameters are frozen during fine-tuning significantly improves generalization and reduces forgetting in LLMs.
VLMs are surprisingly bad at 3D spatial reasoning in panoramic images, but a new RL-based training method closes the gap.
