AIBullisharXiv – CS AI · 8h ago7/10
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Efficient Benchmarking Is Just Feature Selection and Multiple Regression
Researchers demonstrate that efficient LLM benchmarking can be substantially improved by treating it as a multiple regression problem with kernel ridge regression and applying minimum redundancy maximum relevance (mRMR) feature selection. The approach achieves lower prediction errors and faster computation than existing methods while maintaining consistency across different data splits.