Daniel Matter

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification

Among the many tasks that Large Language Models (LLMs) have revolutionized is text classification. Current text classification paradigms, however, rely solely on the output of the final layer in the LLM, with the rich information contained in internal neurons largely untapped. In this study, we pres…