<ul><li>Snowflake introduces ExCoT, a structured framework designed to optimize open-source LLMs through the combination of CoT reasoning and iterative preference optimization, relying solely on execution accuracy as feedback.</li><li>ExCoT employs detailed CoT reasoning and a divide-and-conquer strategy to manage the complexity and nested structures of SQL operations more effectively.</li><li>Experimental evaluation of ExCoT demonstrated significant improvements in execution accuracy, surpassing established methods and maintaining high query validity rates.</li><li>ExCoT represents a methodical advancement in structured reasoning optimization for open-source LLMs applied to text-to-SQL tasks, with further potential for broader applications.</li></ul>

Snowflake Proposes ExCoT: A Novel AI Framework that Iteratively Optimizes Open-Source LLMs by Combining CoT Reasoning with off-Policy and on-Policy DPO, Relying Solely on Execution Accuracy as Feedback

Snowflake Proposes ExCoT: A Novel AI Framework that Iteratively Optimizes Open-Source LLMs by Combining CoT Reasoning with off-Policy and on-Policy DPO, Relying Solely on Execution Accuracy as Feedback

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