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Shanghai Artificial Intelligence Laboratory
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Achieving 93.02% accuracy in molecular structure recognition, MinerU.Chem outperforms existing systems, unlocking new possibilities for AI-driven chemistry research.
Sparse evidence can lead to more effective misinformation detection, with SIEVE outperforming traditional methods by focusing on critical clues rather than exhaustive analysis.
Structured allocentric representations can boost spatial reasoning in foundation models by up to 18%, even in the absence of visual inputs.
