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From Plausible Hierarchies to Useful Taxonomies: Evaluating Agentic Harnesses on Customer Feedback

Chellingi, Prabhath et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningsymbolic-computation
Taxonomies are the symbolic representations through which AI systems organize evidence, aggregate patterns, and answer questions over large document collections. Over customer feedback, the category tree decides how every record is counted and routed, which problems get seen, and which team owns the
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