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Preprint Oct 2026

EdgeKernelBench: Unified LLM-Driven Kernel Generation for Edge Backends

Recent works show that LLMs can generate kernels with strong performance on server GPUs. Edge deployment presents distinct challenges because the hardware is heterogeneous, the software stacks are fragmented, and the resource budgets are tight. LLM kernel generation across diverse edge backends has yet to be studied sy...

Yu-Hua Zheng, Xueyi Chen, Xing-Ze Zou et al. · 0 citations
#machine learning Preprint Oct 2026

MetaKernelBench: Measuring GPU Kernel Knowledge Transfer Beyond Code

Recent GPU kernel optimization agents retain what they learn in knowledge bases or as distilled skills. Kernel benchmarks score each attempt's implementation for correctness and speed but leave the reuse value of retained experience unmeasured. We introduce MetaKernelBench, which measures whether experience distilled f...

Xueyi Chen, Shi-Yu Liu, Xing-Yu Jin et al. · 0 citations
Jul 2026

Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction

Tencent WorkBuddy Bench is introduced, a multi-domain evaluation suite for coding agents, and its construction methodology, scoring protocol, and a cross-model leaderboard are documents, with a cross-model leaderboard across several model families.

Si-Qi Cai, Shao-Peng Chen, Xiang Fei et al. · 4 citations

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