GuideEvolve: Self-Evolving Agent Framework with Expert Guidance and 3Ts Mechanisms· GuideEvolve：带专家指导的自我演化智能体框架
This study introduces GuideEvolve, a self-evolving agent framework incorporating expert guidance and three autonomous regulatory mechanisms, collectively termed the 3Ts: Think Fast and Slow, Throwback, and Termination by choice. The framework addresses critical limitations in extant self-evolving agent paradigms through dual innovations: (1) a task-specific expert-evaluation-driven evolutionary pipeline, and (2) the integration of 3Ts mechanisms to facilitate cognitive optimization, performance recovery via temporal rollback, and adaptive termination protocols. Empirical validation across the MGSM and MMLU benchmarks demonstrates that GuideEvolve attains performance metrics comparable to current state-of-the-art models (89.8% accuracy versus Gödel Agent's 90.6% on MGSM; 89.1% versus 87.9%
结合专家指导和3Ts机制的自我演化智能体框架。
- 核心方法
- 通过任务特定的专家评估驱动演化流程，并引入3Ts机制：快速和慢速思考、回退、选择性终止。
- 适合谁读
- 研究者、工程师
- 要解决的问题
- 现有自我演化智能体框架存在性能优化不足和适应性差的问题。
- 关键实验
- MGSM和MMLU基准测试中，GuideEvolve分别达到了89.8%和89.1%的准确率。
- 主要贡献
- 实现了更优的认知优化、性能恢复和自适应终止，性能接近当前最佳模型。
- 意义与局限
- 该框架有助于提升自我演化智能体的效率和适应性，但仍需进一步研究以提高准确率。