Closed-Loop Transformers: Autoregressive Modeling as Iterative Latent Equilibrium

This article, sourced from ArXiv, likely presents a novel approach to transformer architectures. The title suggests a focus on closed-loop systems and iterative processes within the context of autoregressive modeling, potentially aiming to improve stability, efficiency, or performance of large language models. The use of 'latent equilibrium' hints at the exploration of hidden states and their convergence. Further analysis would require access to the full paper to understand the specific methodologies and contributions.