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#sample-efficiency

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continual-learning fine-tuning llm-training prompt-optimization reinforcement-learning qwen

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Learning, Fast and Slow: What arXiv 2605.12484 Proposes for LLMs That Adapt Continually

Fast-Slow Training splits LLM updates into prompt fast weights and parametric slow weights, cutting KL drift by 70% and lifting sample efficiency by 3×, keeping plasticity.
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