Author

Zhi-Chen Zeng

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Preprint Aug 2026

PTXBench: Benchmarking and Adapting LLMs for GPU Kernel Optimization with Architecture-specific PTX

We introduce PTXBench, a benchmark for evaluating and adapting large language models (LLMs) to use architecture-specific PTX for GPU kernel optimization. PTXBench measures functional correctness, whether selected target instructions execute at runtime, and speedup over frontier libraries across GEMM and attention workl...

Genghan Zhang, Yixin Dong, Chengze Fan et al. · 1 citation

#machine learning Preprint Sep 2026

Miles v0.1: Production-Level Post-Training

We present Miles v0.1, a full-stack, production-ready system for frontier post-training. Building upon the clean design of slime, Miles designs each stage of the reinforcement-learning (RL) training loop around a single principle: components should be verified, clean, and customizable. With accuracy, efficiency, reliab...

R. Chen, Ma Cheng, Shi Dong et al. · 0 citations

#natural language process... Preprint Aug 2026

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

PTXBench provides an auditable testbed for measuring and improving LLMs'ability to exploit evolving GPU architectures, and shows that architecture-specific PTX capability remains uneven.

Genghan Zhang, Yixin Dong, Chengze Fan et al. · 1 citation