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MLLM accuracy drops significantly with increased computational complexity, revealing critical gaps in current benchmarks for multi-chart reasoning.
SciFigQual-Bench reveals that automated assessments of scientific figures can achieve unprecedented accuracy by integrating full-manuscript context, outperforming traditional evaluation methods.
