A bootstrapping framework transfers LLM semantic knowledge into Tsetlin Machines via synthetic data curricula and cue extraction, yielding interpretable classifiers competitive with BERT.
InProceedings of the Fifth Workshop on Building and Evaluating Re- sources for Biomedical Text Mining (BioTxtM2016), pages 1–9, Osaka, Japan
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LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
A bootstrapping framework transfers LLM semantic knowledge into Tsetlin Machines via synthetic data curricula and cue extraction, yielding interpretable classifiers competitive with BERT.