Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning
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 also interactions that provide learning…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-10-12 04:00 · arXiv cs.AI
Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning