A hybrid CLIP/FLAVA similarity score with positive/negative text and image references classifies Ni-WC metal matrix composite micrographs against six expert criteria, but the in-sample evaluation does not demonstrate zero-shot generalization.
F., and El Haddad, R., Understanding the Impact of Applying Large Language Model in Engineering Design Education
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Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification
A hybrid CLIP/FLAVA similarity score with positive/negative text and image references classifies Ni-WC metal matrix composite micrographs against six expert criteria, but the in-sample evaluation does not demonstrate zero-shot generalization.