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Author

Yuwei Fan

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Preprint Oct 2026

Harnessing Language Models as Optimization Modeling Agents

Large language models (LLMs) can translate natural-language optimization problems into solver programs, but reliably producing correct formulations and implementations remains challenging. Existing approaches improve optimization modeling through agentic workflows or task-specific post-training. This raises a practical...

Yun-Xiang Luo, Xin Xu, Tian-Hao Chen et al. · 0 citations
Jul 2026

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits

CANN Bench is an open benchmark for AI-generated operator code on Huawei's Ascend NPU, designed for long-term community co-construction, providing the Ascend ecosystem with a quantitative, reproducible, and sustainably maintained yardstick for AI operator-authoring capability.

Xue-Jian Gao, Deng Pan, Yueming Su et al. · 1 citation

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