AI RESEARCH
Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System
arXiv CS.AI
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ArXi:2602.18640v2 Announce Type: replace Modern large-scale ranking systems operate within a sophisticated landscape of competing objectives, operational constraints, and evolving product requirements. Progress in this domain is increasingly bottlenecked by the engineering context constraint: the arduous process of translating ambiguous product intent into reasonable, executable, verifiable hypotheses, rather than by modeling techniques alone.