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View-invariant video representations can be achieved without sacrificing the richness of view-variant semantics, leading to unprecedented performance in cross-view tasks.
LLMs can iteratively refine their reasoning and reduce errors by recursively evaluating and improving their own confidence, leading to more stable and faster inference.
