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Harbin Institute of Technology
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Freezing a text encoder and distilling prompts from vision-language models can stabilize semantics and boost performance in lifelong person re-identification, even across unseen domains.
Forget static imitation learning: LaST-R1 unlocks near-perfect robotic manipulation (99.8% success) by adaptively reasoning about physical dynamics *before* acting, then refining with RL.
