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cs.LG2026
Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them
Kevin Zhou, Lisa Alazraki, Kris Cao +1
Pre-training data mixtures are commonly tuned by running small-scale experiments and extrapolating to the target training budget. When high-quality data is scarce and must be repea…
stat.ML2026
Efficient Benchmarking Is Just Feature Selection and Multiple Regression
Sam Bowyer, Acyr Locatelli, Kris Cao
Efficient benchmarking techniques aim to lower the computational cost of evaluating LLMs by predicting full benchmark scores using only a subset of a benchmark's questions. By refr…