As agentic AI systems move from research prototypes into large-scale production deployments, a critical evaluation gap has emerged: existing methodologies focus primarily on pre-deployment capability assessment, while offering limited support for post-deployment monitoring, model evolution risk, and production governan...
Yuan Ling, Shujing Dong, Ya-Rong Feng et al.· Proceedings of the 32nd ACM...· 0 citations
LLMZero, an agentic system that optimizes training trajectories via tree search by diagnosing pathologies at each checkpoint and proposing coordinated multi-parameter transitions, discovers strategies that improve over the base model and over grid search and over grid search, consistently outperforming random search an...
Haoyang Fang, Wei Zhu, Boran Han et al.· arXiv.org· 2 citations
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