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Yao-Jian Chen

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Preprint Nov 2026

ForgeKernel: Self-Evolving Kernels Catching and Surpassing Experts and Agents

Purpose-built kernel agents can write high-performance GPU kernels, but existing systems generally lack cross-run knowledge accumulation and architectural evolution. Each run starts from the same initial knowledge, and later iterations largely optimize within an architecture fixed early in the search. We present ForgeK...

Yao-Jian Chen, Da-Zhi Peng, Yin Zheng et al. · 0 citations
#small language model Preprint Oct 2026

JustGoal: With Only a Goal, the AI Baseline Is Above the Expert Kernels

A small number of GPU kernels often determines the efficiency of large language model training and inference. High-performance kernel development typically relies on expert knowledge through manual implementation, collaboration with general-purpose models, or specialized agents equipped with domain knowledge, evaluatio...

Yao-Jian Chen, Da-Zhi Peng, Zhui Zhu et al. · 0 citations

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