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Southern University of Science and Technology
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Sofia's innovative use of music-intrinsic features enables a dramatic 18.5-point improvement in synthetic song detection accuracy, setting a new standard in the field.
MSA slashes per-token attention compute by over 28x while maintaining competitive performance, revolutionizing how LLMs can handle ultra-long contexts.
MTP acceptance rates can be dramatically improved by addressing entropy fluctuations, leading to up to 1.8x faster RL training.
Achieving a 20.24 percentage-point improvement in task success rates while slashing inference costs by 92% could revolutionize automated documentation verification in cloud environments.
