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Исследования2026年10月6日
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…
Leo Y. Lin, Vishakha Ramani, Z. Berkay Celik, Paul Castro, Marquita Ellis·arXiv — cs.AI
Original SourceKey Takeaways
- 01.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
- 02.Yet this data remains fragmented: teams…
This material is provided as an extended analytical summary.
Read full article at sourceAggregated within AI Qazaqstan national intelligence stream with author attribution.
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