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Researchers from Scale AI developed PLANSEARCH, an algorithm that enhances large language model performance for code generation by systematically exploring diverse solution plans in natural language. This method achieved 77.0% pass@200 on the LiveCodeBench benchmark with Claude 3.5 Sonnet, demonstrating that focusing on high-level idea diversity is crucial for improving LLM search capabilities.