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Theoretical Limits of Language Model Alignment $f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models When Can Voting Help, Hurt, or Change Course? 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Probabilistically-Shaped Coded Modulation with Hard Decision Decoding for Coherent Optical Systems
Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva · 2017-05-06 · via cs.IT updates on arXiv.org

We consider probabilistic shaping to maximize the achievable information rate of coded modulation (CM) with hard decision decoding. The proposed scheme using binary staircase codes outperforms its uniform CM counterpart by more than 1.3 dB for 64-QAM and 5 bits/symbol.

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