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Arizona State University
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LLM-based vulnerability repair can be significantly improved by focusing on root cause analysis, leading to more robust and less superficial patches than current methods.
Seedance 2.0 leapfrogs existing models by unifying multi-modal inputs (text, image, audio, video) into a single architecture for generating high-quality, longer-duration audio-video content.
