AINeutralarXiv – CS AI · 7h ago6/10
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Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning
Researchers introduce SAI-DPO, a dynamic data sampling framework that adapts training data selection based on a model's evolving capabilities during training, rather than using static metrics. Tested on mathematical reasoning benchmarks including AIME24 and AMC23, SAI-DPO achieves state-of-the-art performance with significantly less training data, outperforming baselines by nearly 6 points.