AINeutralarXiv – CS AI · Mar 267/10
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Understanding the Challenges in Iterative Generative Optimization with LLMs
Research reveals that iterative generative optimization with LLMs faces significant practical challenges, with only 9% of surveyed agents using automated optimization. The study identifies three critical design factors that determine success: starting artifacts, credit horizon for execution traces, and batching of learning evidence.