A code-aware latent-attention transformer matches near-ML error rates for short polar codes only after per-configuration fine-tuning.
A mathematical theory of communication,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime
A code-aware latent-attention transformer matches near-ML error rates for short polar codes only after per-configuration fine-tuning.