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Yu-Ting Jiang

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#artificial intelligence Preprint Sep 2026

RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems

This work argues that a general workload representation, a verifiable mutation space, and an implementation-independent evaluator are required to enable the AI-driven LLM inference system architecting loop, and presents the RoofLang domain-specific language (DSL) that provides these features.

Ziyue Yang, Yu-Ting Jiang, L. Qu et al. · 0 citations