AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation
arXiv:2610.03896v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used for automated algorithm design. However the computational cost of evaluating the generated algorithms can be excessive. We consider the common LLM-driven automated algorithm design (LLM4AD) setting in…
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- 2026-10-06 04:00 · arXiv cs.LG
AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation