2026
MISF: MLLM Guided Iterative Sample Filtering for Data Fault Detection
AAAI 2026technical
High quality datasets are critical for training reliable machine learning models, yet data faults caused by insufficient annotation expertise or malicious poisoning attacks remain prevalent. Traditional classifier based methods rely on manually curated subsets for fault detection, but their limited