Author

Fei-Yuan Zhang

h-index 2 View on Semantic Scholar

We have 3 of 8 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

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

Large language models (LLMs) now show strong reasoning and coding abilities, raising the prospect that they could assist in developing and optimizing the very infrastructure that powers them. Existing benchmarks, however, mainly focus on isolated kernels, predefined operators, or pre-specified optimization targets, and...

Lei-Lei Ding, Shu-Min Wang, Yu-Ting Huang et al. · 2 citations · ⚡1

#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