AINeutralarXiv – CS AI · 4h ago6/10
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LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
Researchers propose a semantic bootstrapping framework that transfers knowledge from large language models into interpretable symbolic Tsetlin Machines, enabling text classification systems to achieve BERT-comparable performance while remaining fully transparent and computationally efficient without runtime LLM dependencies.