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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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A Simple Nonlinearity-Tailored Probabilistic Shaping Distribution for Square QAM
Eric Sillekens, Daniel Semrau, Gabriele Liga, Nikita A. Shevchen · 2017-10-11 · via cs.IT updates on arXiv.org

A new probabilistic shaping distribution that outperforms Maxwell-Boltzmann is studied for the nonlinear fiber channel. Additional gains of 0.1 bit/symbol MI or 0.2 dB SNR for both DP-256QAM and DP-1024QAM are reported after 200 km nonlinear fiber transmission.

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