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cs.CL2023
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data
Yu Yang, Aaditya K. Singh, Mostafa Elhoushi +7
Code datasets, often collected from diverse and uncontrolled sources such as GitHub, potentially suffer from quality issues, thereby affecting the performance and training efficien…
cs.CV2023
Sieve: Multimodal Dataset Pruning Using Image Captioning Models
Anas Mahmoud, Mostafa Elhoushi, Amro Abbas +4
Vision-Language Models (VLMs) are pretrained on large, diverse, and noisy web-crawled datasets. This underscores the critical need for dataset pruning, as the quality of these data…