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training data quality

5 papers

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Co-occurring keywords · papers mentioning both

large language model (2) data quality (2) model generalization (2) human-adversarial sample (1) data integrity (1) dataset cleaning (1) data influence (1) beneficial information (1) reranker model (1) parameter disabling (1)

Papers

Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 FiNE: Filtering and Improving Noisy Data Elaborately with Large Language Models NAACL 2025 Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs EMNLP 2025 Effects of Human Adversarial and Affable Samples on BERT Generalization EMNLP 2023 Retaining Beneficial Information from Detrimental Data for Neural Network Repair NeurIPS 2023