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

LongDS is introduced, a benchmark for long-horizon, multi-turn data analysis where agents must maintain, update, restore, and compose evolving analytical states, suggesting that the key bottleneck is maintaining a correct analytical state rather than increasing interaction budget.

Kewei Xu, Xiaobe Lu, Shuofei Qiao et al. · 1 citation

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