SCOPE: Prompt Evolution for Enhancing Agent Effectiveness 事件

SCOPE: Prompt Evolution for Enhancing Agent Effectiveness arXiv:2512.15374v2 Announce Type: replace Abstract: Large Language Model (LLM) agents are increasingly deployed in environments that generate massive, dynamic contexts. However, a critical bottleneck remains: while agents have access to this context, their static prompts lack the mechanisms to manage it effectively, leading to recurring Corrective and Enhancement failures. To address this capability gap, we introduce Self-evolving Contex