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This paper introduces ARAC-Bench, a benchmark for evaluating the alignment, logical coherence, and completeness of Auto-Research systems' research processes against human methodology. Experiments on 11 state-of-the-art frameworks show a best alignment score of only 67.9/100, highlighting a significant gap in simulating rigorous human research behavior.
Lilian Weng shares insights on the iterative process of creating a comprehensive training run logbook, highlighting the importance of human-human collaboration in improving human-AI collaboration.