most citedTo BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection

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cs.LG2025

Transformers Don't In-Context Learn Least Squares Regression

Joshua Hill, Benjamin Eyre, Elliot Creager

In-context learning (ICL) has emerged as a powerful capability of large pretrained transformers, enabling them to solve new tasks implicit in example input-output pairs without any…

cs.LG2020

Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach

Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova

Despite the widely reported success of embedding-based machine learning methods on natural language processing tasks, the use of more easily interpreted engineered features remains…