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Chinese Academy of Sciences, University of Chinese Academy of Sciences
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Sparse evidence can lead to more effective misinformation detection, with SIEVE outperforming traditional methods by focusing on critical clues rather than exhaustive analysis.
Diffusion models can now generate user preferences for multi-behavior sequential recommendation, outperforming traditional methods by better capturing uncertainty and enabling more diverse recommendations.
