Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use
DGX agentarXiv:2607.01084v1 Announce Type: new Abstract: While Large Language Model (LLM) agents demonstrate proficiency in static benchmarks, their deployment in real-world scenarios is hindered by the dynami