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Ming-Xuan Yuan

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#artificial intelligence Preprint Sep 2026

AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery

Large language models have advanced automated algorithm discovery by synthesizing executable code, but existing frameworks trap them in rigid search pipelines with pre-defined control flows. This limitation restricts adaptive reasoning, blocks cross-paradigm transfer, and discards valuable execution feedback. We propos...

Jun-Hao Qiu, Qing-Long Hu, Xia-Liang Tong et al. · 0 citations
Preprint Aug 2026

ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond

Results on diverse long-horizon benchmarks demonstrate the efficacy of ScienceFlow's ability to sustain effective research processes, and demonstrates that efficient state management, adaptive exploration, and objective-aligned execution are critical for scaling autonomous research beyond short-horizon interactions.

Ming-Ming Zhao, Jiqian Dong, Kangping Xu et al. · 0 citations

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