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What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents

61 upvotes · 27 AUG 2026 · Xingshan Zeng, Zishan Xu, Boju Zhang et al.

This paper develops a framework for generating agentic data that is consistent, useful, and sufficient for LLM agents to learn from. Practitioners might care because they want to ensure their agents learn from high-quality data that helps them adapt to changing environments.

continual learningagentic data generationaccuracy-complexity-diversity (ACE) lensLLM agentsagent-environment interactions