R-Select: A Robust Multi-Metric Data Selection Approach for Fine-Tuning Large Language Models
R-Select, a robust and scalable framework that optimizes data selection with 30 distinct quality metrics, introduces a novel hierarchical optimization strategy that consistently outperforms both heuristic baselines and model-based methods, offering a robust solution for high-quality data curation.