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SMCEvolve introduces a principled framework for LLM-driven program evolution by reformulating it as sampling from a reward-tilted distribution using Sequential Monte Carlo. It provides convergence guarantees and outperforms existing methods across multiple scientific discovery benchmarks.
DataFlow is an LLM-driven framework for automated data preparation and workflow engineering, featuring nearly 200 reusable operators and six domain-general pipelines that improve LLM performance across tasks like math, code, and Text-to-SQL.