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The University of Sydney, University of Electronic Science and Technology of China Project
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SciFigQual-Bench reveals that automated assessments of scientific figures can achieve unprecedented accuracy by integrating full-manuscript context, outperforming traditional evaluation methods.
Ditch the one-size-fits-all dart coaching: this system builds personalized throwing trajectories and feedback based on your own best throws, not some ideal template.
