Optimizer LLMs can struggle with accuracy and novelty in solutions while optimizing math problems, highlighting the need for effective external tool integration.
Despite their potential, optimizer LLMs often produce hallucinated values and fail to generate unique solutions, indicating significant limitations in handling complex mathematical tasks.
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