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Xiangyuan Ru

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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. · 2 citations
#artificial intelligence Preprint Sep 2025

OceanGym: A Benchmark Environment for Underwater Embodied Agents

OceanGym is introduced, the first comprehensive benchmark for ocean underwater embodied agents, designed to advance AI in one of the most demanding real-world environments, and reveals substantial gaps between state-of-the-art MLLM-driven agents and human experts.

Yida Xue, Mingjun Mao, Xiangyuan Ru et al. · 0 citations

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