Safety in Self-Evolving Agents: A Survey
Large language models (LLMs) exhibit strong general capabilities, yet their parameters typically remain fixed after deployment, limiting learning from new interactions. In open-ended environments, this motivates self-evolving agents that continually update reusable state-including model parameters, memories, tool defin...
Jia-Hao Chen, Zhou Feng, Ou-Bo Ma et al.
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