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Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning

Single source1 source12 Oct 2026

arXiv:2610.12593v1 Announce Type: new Abstract: The continued improvement of large language models increasingly depends on synthetic experience, yet effective data synthesis for interactive agents requires not only executable and verifiable trajectories, but a

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.12593

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