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Leo Y. Lin

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#artificial intelligence Preprint Oct 2026

ROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems

Each run of an AI-driven research system (ADRS) is an expensive search over a vast solution space, and dependable evaluation requires many runs, making run data both costly to produce and valuable to retain for large-scale analysis. Yet this data remains fragmented: teams operate in isolation, ADRS frameworks emit resu...

Leo Y. Lin, Vishakha Ramani, Z. B. Celik et al. · 0 citations