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SequenceO1 achieves efficient ultra-long sequence modeling by compressing user histories while maintaining high performance, revolutionizing recommendation systems at scale.
Forget generic CoT: Embed-RL uses reinforcement learning to generate reasoning traces that are explicitly optimized for multimodal embedding tasks, leading to significant performance gains.
