AdaEva: Accelerating LLM-driven algorithm design with adaptive partial evaluation
Read the original at arxiv.org→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...
Original headline: "AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation"
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- Oct 6, 04:00 UTC arXiv cs.LG lead source AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation