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News/LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis
arxiv
PublishedJune 1, 2026 at 4:00 AM
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LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis

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arXiv:2605.30434v1 Announce Type: cross 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. We introduce LongDS, a benchmark

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