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A cascaded expert system can significantly improve the quality and format validity of educational response generation, but realizing latency gains remains a challenge.
Achieve state-of-the-art image manipulation localization by unifying low-level frequency cues and high-level semantic priors, enabling robust detection of both traditional and diffusion-generated edits.
Finally, a single model can generate realistic and comprehensive auditory scenes from video and text, including both environmental sounds and human speech, outperforming previous specialized approaches.
