最后就是极高压缩率可能导致信息丢失，强化学习策略虽然能通过展开关键部分来缓解，但速度与保真度间仍需要权衡。实验显示REFRAG在16-32倍压缩范围内保持准确性，超出这个范围性能会下降（论文图10显示过高压缩导致更大损失）。

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