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By cleverly combining YOCO's efficient attention with recursive computation, YOCO-U achieves a capability-efficiency sweet spot that neither technique can reach on its own.
Language models can learn directly from real-world user interactions, boosting performance without human annotations or simulated environments.
Language models can now internalize experiential knowledge and system prompts more effectively through on-policy context distillation, leading to better task accuracy and out-of-distribution generalization.
