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20232026
most citedShort Wins Long: Short Codes with Language Model Semantic Correction Outperform Long Codes

1 citations · 2 across the 11 of their papers we have counts for

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cs.IT2026

Iterative Semantic Decoding for Short Block Codes

Jiafu Hao, Chentao Yue, Mingcheng Nie +2

This paper proposes an iteratively enhanced semantic receiver for natural-language text transmission over noisy wireless channels using multiple short block codes. At the transmitt…

cs.IT2026

Semantic Error Control Coding with Foundation Models for Future Communications

Chentao Yue, Gaoyang Pang, Branka Vucetic +1

Classical channel decoding typically treats all information sequences as equally likely and relies primarily on the channel observations and code structure, without exploiting stat…

cs.IT2026

Semantic-Aided Iterative Decoding for Uplink Non-Orthogonal Transmission

Wenjing Wei, Chentao Yue, Branka Vucetic +1

This paper proposes semantic-aided iterative decoding (Sem-IR) for uplink non-orthogonal transmission of a shared natural-language source. K users each hold one segment of a common…

cs.IT2026

Semantic Ordered Statistics Decoding

Chentao Yue, Branka Vucetic, Yonghui Li

We propose a Semantic Ordered Statistics Decoder (sem-OSD), a soft decoder for short linear block codes carrying byte-streamed sources such as natural-language text. Sem-OSD inject…

cs.IT2026

Semantic Error Correction and Decoding for Short Block Codes

Jiafu Hao, Chentao Yue, Wanchun Liu +2

This paper presents a semantic-enhanced receiver framework for transmitting natural language sentences over noisy wireless channels using multiple short block codes. After ASCII en…

cs.IT2026

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes

Zhengtong Li, Chentao Yue, Jiafu Hao +2

Traditional wireless communications rely solely on bit-level channel coding for error correction, without exploiting the inherent linguistic structure of the data source. This pape…

cs.IT2025

Policy-Guided MCTS for near Maximum-Likelihood Decoding of Short Codes

Y. Tian, C. Yue, P. Cheng +3

In this paper, we propose a policy-guided Monte Carlo Tree Search (MCTS) decoder that achieves near maximum-likelihood decoding (MLD) performance for short block codes. The MCTS de…

cs.IT2024

The Guesswork of Ordered Statistics Decoding: Guesswork Complexity and Decoder Design

Chentao Yue, Changyang She, Branka Vucetic +1

This paper investigates guesswork over ordered statistics and formulates the achievable guesswork complexity of ordered statistics decoding (OSD) in binary additive white Gaussian…