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Looped LLMs don't just perform better reasoning, they also internally mirror the distinct inference stages of standard feedforward models, repeating them cyclically.
Overcome policy lag in distributed RL with TV-ACPO, a method that aligns advantage functions and constrains policy updates, leading to more robust and scalable on-policy learning.
