SemFin combines model configuration files with repository tags to impute missing metadata across 317k PTLMs, outperforming propagation baselines by up to 31.4% and expanding reuse and license lineage chains on 167k models.
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Towards Imputation of Pre-Trained Language Model Metadata using Semantic Fingerprinting
SemFin combines model configuration files with repository tags to impute missing metadata across 317k PTLMs, outperforming propagation baselines by up to 31.4% and expanding reuse and license lineage chains on 167k models.