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The University of Sydney
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SciFigAlign achieves a remarkable 59% reduction in error over traditional LLM-based scoring methods by grounding figure assessments in manuscript context.
SciFigQual-Bench reveals that automated assessments of scientific figures can achieve unprecedented accuracy by integrating full-manuscript context, outperforming traditional evaluation methods.
