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Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs.

arXiv:2604.22893v2 Announce Type: replace-cross Abstract: Traditional ``row-count $\times$ quality coefficient'' approaches fail to capture the nonlinear utility of data for Large Language Model (LLM) capabilities. We present a utility-aware data valuation fra

arXiv cs.AIResearch source·