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#artificial intelligence Preprint Sep 2026

Towards Reliable AI Data Scientists: Data Agents with Workflow Harnesses

Large language model agents are increasingly deployed for data-intensive work, yet reliable data analysis requires more than general-purpose reasoning and ad hoc tool augmentation. Data Agents, equipped with workflow harnesses, offer a promising paradigm for automating the end-to-end data science lifecycle. This paper...

Hua-Chi Zhou, Yu-Jing Zhang, Jia-He Du et al. · 0 citations
Review Aug 2026

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolution has produced paradigms including Prompt Engineering to elicit model capabilities, Context Engineering to manage information access, Harness Engineering to organize external tools and resources, and Loo...

Yuyuan Feng, Zhishang Xiang, Chao Yang et al. · 0 citations

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