Author

Kewei Xu

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#artificial intelligence May 2026

Exploring Autonomous Agentic Data Engineering for Model Specialization

This study formalizes Autonomous Agentic Data Engineering, a novel task designed to evaluate LLMs as autonomous data engineers that drive model specialization through end-to-end data curation, and charts a path toward agent-driven model specialization.

Yujie Luo, Xiangyuan Ru, Jingsheng Zheng et al. · arXiv.org · 2 citations

#artificial intelligence May 2026

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. · arXiv.org · 1 citation