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Fei-Yuan Zhang

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#natural language process... Preprint Sep 2026

$\Phi$-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?

This work presents $\Phi$-Bench, a benchmark for systematically evaluating LLMs on engineering the LLM infrastructure stack and spans tasks of varying complexity, ranging from localized kernel-level function completion to long-horizon implementation and end-to-end system optimization.

Lei-Lei Ding, Shu-Min Wang, Yu-Ting Huang et al. · 1 citation

#artificial intelligence Preprint Aug 2026

When Do Larger Batches Help Scale LLM Reinforcement Learning?

A larger-batch configuration reduces time-to-target only when its throughput gain exceeds its samples-to-target penalty, and a larger-batch configuration reduces time-to-target only when its throughput gain exceeds its samples-to-target penalty.

Zi-Niu Li, Jinbo Wang, Guan-Hua Huang et al. · 0 citations