Author

Lei-Lei Ding

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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