A bootstrapping framework transfers LLM semantic knowledge into Tsetlin Machines via synthetic data curricula and cue extraction, yielding interpretable classifiers competitive with BERT.
Yifan Peng, Shankai Yan, and Zhiyong Lu
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.