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20232026
most citedBoosting Learning for LDPC Codes to Improve the Error-Floor Performance

3 citations · 3 across the 7 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.LG2026

ZeroCode: On-demand Error-Correcting Code Construction from the Zero Matrix via Reinforcement Learning

Ju-Hyeong Lee, Yongjune Kim, Sang-Hyo Kim +2

Error-correcting codes (ECCs) are essential across diverse applications, from wireless communications and storage to quantum computing, yet each application imposes distinct design…

cs.CR2026

WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading

Gang-Hyun Park, Ju-Hyeong Lee, Hee-Youl Kwak +1

Multi-bit watermarking for large language models enables content source tracing by embedding user-identifiable messages into generated text. Existing methods face a fundamental tra…

quant-ph2026

Logical Neural Belief Propagation for Linear-Complexity Decoding of Surface Codes

Hee-Youl Kwak, Seong-Joon Park, Dae-Young Yun +2

Quantum error correction (QEC) requires accurate and efficient decoders, yet belief propagation (BP), despite its linear decoding complexity, often provides insufficient logical ac…

cs.IT2026

Spectral-Aligned Pruning for Universal Error-Correcting Code Transformers

Sanghyeon Cho, Taewoo Park, Seong-Joon Park +4

Universal channel decoders based on transformers-such as the Foundation Error Correction Code Transformer (FECCT)-achieve competitive decoding performance across diverse code famil…

cs.IT2026

Design of Outage-Limit-Approaching Protograph LDPC Codes via Generalized Rootchecks

Inki Kim, Hyuntae Ahn, Yongjune Kim +3

This paper presents a new protograph-based LDPC code design framework that simultaneously achieves full diversity over block-fading channels (BFCs) and near-capacity performance ov…