SOURCE-LINKED INTELLIGENCE

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

arXiv · AI, language, vision and robotics · article · Sep 9, 2026 · UTC

Large language models (LLMs) have demonstrated remarkable capabilities in reasoning and code generation, raising the prospect that they could assist in developing and optimizing the very infrastructure that powers them. However, existing benchmarks mainly focus on isolated kernels, predefined operators, or pre-specified optimization targets, and therefore fail to evaluate the ability of LLMs to perform open-ended, long-horizon LLM infrastructure engineering. To address this gap, we present $Φ$-Bench, a benchmark for systematically evaluating LLMs on engineering the LLM infrastructure stack. De

Read original source ↗ Open in workspace

recordType

paper

region

Global