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A decompositional lens is introduced for studying the effects of instruction-tuned models on question answering, mathematics, and code generation in LLM post-training and highlights how the value of code data in post training depends on which categories are combined for which model and task.
Breast image classification requires local detail and global tissue context, yet these cues can weaken as representations deepen. We present M3D-Net, a mammography encoder that hierarchically coordinates multi-scale coordinate attention, bounded dynamic feature reuse, and differential attention through resolution-aware...
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