conftrace_

dataset cleaning

6 papers

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Co-occurring keywords · papers mentioning both

data quality (2) label noise (2) contamination factor estimation (1) minimal supervision (1) parameter disabling (1) corruption-robust training (1) data credibility (1) harmless language model (1) verbatim copying (1) unsupervised outlier detection (1)

Papers

Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection CVPR 2025 NeMo-Inspector: A Visualization Tool for LLM Generation Analysis NAACL 2025 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models ICLR 2024 Deduplicating Training Data Makes Language Models Better ACL 2022 Learning From Noisy Large-Scale Datasets With Minimal Supervision CVPR 2017