Evo-Memory: Benchmarking LLM Agent Test-time Learning

This article from ArXiv introduces Evo-Memory, a new benchmark for evaluating Large Language Model (LLM) agents' ability to learn during the testing phase. The focus on self-evolving memory offers potential advancements in agent adaptability and performance.

• •Evo-Memory benchmarks LLM agents on test-time learning.
• •The approach uses self-evolving memory.
• •The work is sourced from the ArXiv repository.