Adapting English Quality Classifiers for Multilingual LLM Pretraining Data Selection.
arXiv:2610.11585v1 Announce Type: cross Abstract: Recent advances in large language model (LLM) pretraining highlight the role of high-quality training data in improving performance. While model-based filtering has proven effective in selecting high-quality su
arXiv cs.AIResearch source·