Papers by Nguyen Binh Nguyen

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Challenge:	Current approaches for fine-tuning datasets rely on expensive sample ranking processes . data set pruning aims to select a subset of a dataset for efficient model training .
Approach:	They propose a method that uses TF-IDF embeddings with geometric median to rapidly evaluate sample importance.
Outcome:	The proposed method significantly reduces training and storage costs while maintaining model effectiveness.