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This paper proposes an advanced architecture that mitigates challenges of recurrent matrix multiplications by decomposing A-multiplications into multiple groups and optimizing positional encoding by means of Grouped Finite Impulse Response (FIR) filtering, and incorporates a similar system to improve The steadiness and performance from the model ov