AINeutralarXiv – CS AI · Mar 97/10
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Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
Researchers present a new framework for uncertainty quantification in AI agents, highlighting critical gaps in current research that focuses on single-turn interactions rather than complex multi-step agent deployments. The paper identifies four key technical challenges and proposes foundations for safer AI agent systems in real-world applications.
