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Robustness Starts with the Objective: Designing and Certifying Robust LLM-Generated Heuristics

Karimi, Pantea et al.
arXiv (All) · Papers
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and-cluster-computingartificial-intelligencecomputation-and-languagedistributedparallelperformance
LLMs are increasingly used to design heuristics for computer systems. However, most synthesis frameworks evaluate candidates by their average performance, which can mask severe regressions on specific workloads. Even adding adversarial training inputs doesn't eliminate these regressions, and percent
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