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Sagan

Paper

LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis

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AI summary

arXiv:2605. 30434v1 Announce Type: new Abstract: Real-world data analysis is inherently iterative, yet existing benchmarks mostly evaluate isolated or short interactive tasks, leaving agents' ability to track evolving analytical context over long horizons untested.