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Introduces a paper accepted at PACT 2025, proposing the ComPilot framework, which uses off-the-shelf LLMs as optimization agents to automatically optimize complex loop nests without fine-tuning, achieving a geometric mean speedup of 3.54x, surpassing the SOTA Pluto.
A detailed article introducing Loop Prompt Engineering, a method to automate prompt optimization by iteratively rewriting prompts based on evaluation against a dataset, with emphasis on avoiding recursive traps.