arxiv
PublishedJuly 21, 2026 at 4:00 AM
Environment-free Synthetic Data Generation for API-Calling Agents
Publisher summary· verbatim
arXiv:2607.16900v1 Announce Type: new Abstract: Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments with executable APIs and realistic, pre-populated back
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Originally published on arxiv ↗