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VLM-level feedback can transform language backbone unlearning from unreliable to robust and transferable, achieving unprecedented performance gains.
RAVEN repairs 83.13% of software vulnerabilities, leveraging a novel agentic RAG approach that generalizes across diverse types and languages.
Holo-World achieves precise scene control and realistic weather adaptation from a single image, outperforming traditional methods in video weather editing.
