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The University of Texas at Austin
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AI-generated peer reviews aren't just viable at scale, they're preferred by researchers over human reviews for technical accuracy and actionable feedback.
LLMs can now directly predict scalar values with a tiny, efficient head (3.4M parameters) that outperforms prior regression methods.
