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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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Returning to Shannon's Original Meaning
Xuezhi Yang · 2019-09-11 · via cs.IT updates on arXiv.org

Shannon theory is revisited to show that ergodicity is an indispensable element of channel capacity. The generalized channel capacity $C=\sup_{\bm{X}}\underline{I}(\bm{X}; \bm{Y})$ is checked with a negative conclusion and the popular assertion "the capacity of a slow fading channel is zero in strict Shannon sense" is found to be conceptually wrong.

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