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Achieving a 55.8% improvement in GSNR estimation accuracy, the LA-DT adapts rapidly to new scenarios with minimal data, revolutionizing physical-layer modeling in ultra-wideband networks.
FM-LLM achieves an average improvement of 5.3% in MSE and 5.6% in MAE over leading autoregressive LLMs, showcasing its superior capability in time series forecasting.