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Low-frequency bias in EEG models can be corrected, leading to a significant boost in performance across a wide range of tasks.
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.
Finally, a way to judge the *vibes* of your 3D Gaussian Splatting scenes, without needing to render a bunch of images.
