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Ocean University of China
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Calibration-data composition can dramatically enhance quantization performance, with 3.5-bit models outperforming traditional 4-bit baselines by over 20 points.
Personalized content generation can be dramatically improved by transforming user interaction history into actionable instructions, leading to more relevant and visually appealing outputs.
TailorMind outperforms traditional content generation methods by creating personalized multimodal outputs without needing existing content pools, achieving significant gains in coherence and novelty.
