A literature-retrieval-augmented multimodal system classifies laser powder bed fusion anomalies in unseen images without fine-tuning, with retrieval improving average accuracy by 12%.
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Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models
A literature-retrieval-augmented multimodal system classifies laser powder bed fusion anomalies in unseen images without fine-tuning, with retrieval improving average accuracy by 12%.