#mathematical-optimization

#mathematical-optimization

Large language models can serve as optimizers, enhancing mathematical task performance through effective prompt design. [ more ]

LLMs can effectively function as optimizers by progressively generating improved solutions for objective functions. [ more ]

Prompt optimization using large language models significantly enhances task performance and accuracy, particularly evident in mathematical challenges and benchmark datasets. [ more ]

OPRO significantly improves prompt optimization performance with various large language models configurations. [ more ]

LLMs enhance optimization techniques for complex tasks, offering new applications in fields like mathematical optimization and problem-solving. [ more ]

LLMs can enhance optimization strategies in various mathematical and prompt-related problems through the use of meta-prompts. [ more ]