EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

要約

In this paper, we propose EEVEE, the first multi-dataset test-time prompt learning framework for LLM agents, enabling test-time prompt learning under real-world task streams. Existing methods are largely designed for single-dataset settings, while real-world applications require models to handle het…