A stochastic thermodynamics framework quantifies entropy production in non-Markovian autoregressive generative models, with efficient estimation from trajectories and exact decomposition into non-negative retrospective inference terms.
To examine how the Monte Carlo estimates stabilize as the sample size grows, Figure 6 plots the cumulative sample mean ofσ token/Tandσ block/T ′ forT= 120, as a function ofN
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Stochastic Thermodynamics for Autoregressive Generative Models: A Non-Markovian Perspective
A stochastic thermodynamics framework quantifies entropy production in non-Markovian autoregressive generative models, with efficient estimation from trajectories and exact decomposition into non-negative retrospective inference terms.