Sem-OSD injects byte-level LM priors into OSD via fused scoring and dual TEP families, achieving BLER below finite-blocklength bounds and 1.5 dB gain over Fossorier OSD on BCH and RS codes.
CL-SEC: Cross-layer semantic error correction empowered by language models
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
The work validates real-time cross-layer semantic error correction on an SDR platform, showing that fusing physical-layer LLRs with language-model context outperforms either alone in live experiments.
citing papers explorer
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Semantic Ordered Statistics Decoding
Sem-OSD injects byte-level LM priors into OSD via fused scoring and dual TEP families, achieving BLER below finite-blocklength bounds and 1.5 dB gain over Fossorier OSD on BCH and RS codes.
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Real-Time Cross-Layer Semantic Error Correction Using Language Models and Software-Defined Radio
The work validates real-time cross-layer semantic error correction on an SDR platform, showing that fusing physical-layer LLRs with language-model context outperforms either alone in live experiments.