AI RESEARCH
Why Inference in Large Models Becomes Decomposable After Training
arXiv CS.AI
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ArXi:2601.15871v3 Announce Type: replace-cross Inference in large-scale AI models is typically performed on dense parameter matrices, leading to inference cost and system complexity that scale unsustainably with model size. This limitation does not arise from insufficient model capacity, but from treating post-