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University of Science and Technology of China
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SPWM cuts computational costs and energy consumption in image restoration tasks while maintaining high image quality, showcasing the untapped potential of spiking neural networks.
LongAttnComp not only matches full-context accuracy but also significantly boosts efficiency in long-context reasoning tasks, outperforming existing methods across diverse model families.
Forget specialized architectures: StepAudio 2.5 proves a single audio-language foundation, shaped by RLHF, can dominate ASR, TTS, and real-time dialogue simultaneously.
