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Leveraging LLM failure modes as a guiding resource can lead to substantial improvements in reasoning efficiency and performance.
Open-source QUEST agents, trained solely on 8K synthetic tasks, rival or surpass proprietary research agents, proving that scaling data synthesis can unlock frontier performance.
