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Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

GEARS (Generative Engine for Agentic Ranking Systems), a framework that reframes ranking optimization as an autonomous discovery process within a programmable experimentation environment, and incorporates validation hooks to enforce statistical robustness and filter out brittle policies that overfit short-term signals.

Longfei Yun, Yihang Wu, Haoran Liu et al. · 2 citations

CCTU: A Benchmark for Tool Use under Complex Constraints

CCTU, a benchmark for evaluating LLM tool use under complex constraints, is introduced and nine state-of-the-art LLMs are evaluated in both thinking and non-thinking modes, showing that models violate constraints in over 50% of cases.

Junjie Ye, Guoqiang Zhang, Wen-Jie Fu et al. · 8 citations

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