Author

Ju-Hyeong Lee

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#machine learning Preprint Sep 2026

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

ZeroCode addresses diverse code-design requirements within a unified framework, providing solutions with optimized decoding performance under given constraints, and offers trade-offs between decoding performance and complexity without retraining.

Ju-Hyeong Lee, Yongjune Kim, Sang-Hyo Kim et al. · 0 citations

#machine learning Preprint Sep 2026

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

WeaveMark, a robust and scalable multi-bit LLM watermarking scheme based on coded payload spreading, improves payload capacity through multi-bit-per-token spreading (weaving), improving extraction accuracy through soft-decision error-correcting codes, and preserving text quality through unbiased multilayer reweighting.

Gang-Hyun Park, Ju-Hyeong Lee, Heeyoul Kwak et al. · 0 citations