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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.
Current state-of-the-art models struggle with visual tool-calling, achieving less than 50% success even in ideal conditions.
