Spec-Bench is a comprehensive benchmark designed for assessing Speculative Decoding methods across diverse scenarios. Based on Spec-Bench, we aim to establish and maintain a unified evaluation ...
Abstract: Guessing random additive noise decoding (GRAND) is a recently proposed universal maximum likelihood (ML) decoder for short-length and high-rate linear block codes. Soft-GRAND (SGRAND) is a ...
Abstract: This letter aims to provide a general methodology for addressing forward error correction (FEC) issues in protocols. Taking the estimation of frame padding ...
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