Discovering what drives an outcome from data is central to science and often requires deciding what is worth investigating before a specific hypothesis is known. Yet most existing hypothesis generation settings substantially narrow this search by providing a research question, target relationship, or curated context. W...
Sanchit Kabra, Nurendra Choudhary, Jiang-Shu Du et al.· 0 citations
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
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