JQL trains small multilingual quality scorers from LLM judgments and human annotations, and filtering pretraining data with them improves downstream multilingual model performance over heuristic baselines.
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Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
JQL trains small multilingual quality scorers from LLM judgments and human annotations, and filtering pretraining data with them improves downstream multilingual model performance over heuristic baselines.