The paper proposes a robust B-spline decoupling framework using constrained coupled matrix-tensor factorization and the R-CMTF-BSD algorithm for compressing Vision and Swin Transformer models.
Language models are few-shot learners
2 Pith papers cite this work. Polarity classification is still indexing.
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LLMs cannot solve the medical treatment problem through imitation alone because it requires evidence from experiments or observations, posing ethical challenges for training such systems.
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Robust Basis Spline Decoupling for the Compression of Transformer Models
The paper proposes a robust B-spline decoupling framework using constrained coupled matrix-tensor factorization and the R-CMTF-BSD algorithm for compressing Vision and Swin Transformer models.
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Treatment, evidence, imitation, and chat
LLMs cannot solve the medical treatment problem through imitation alone because it requires evidence from experiments or observations, posing ethical challenges for training such systems.