Why Models Drift: From LLM Reinforcement Learning to Autoregressive Video
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From Score Centering, BPO, and MaxRL to Self Forcing, video preference optimization, and KV quantization correction: understanding drift across domains through distributions, feedback loops, and points of intervention.