2026
Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use
ICML 2026poster
While Large Language Model (LLM) agents demonstrate proficiency in static benchmarks, their deployment in real-world scenarios is hindered by the dynamic nature of user queries, tool sets, and interaction dynamics. To address this generalization gap, we formalize **OpenAgent** (Tool-Use Agent in Ope…