Feb. 2, 2024, 3:40 p.m. | Sagi Shaier Kevin Bennett Lawrence E Hunter Katharina von der Wense

cs.CL updates on arXiv.org arxiv.org

The differences between cloze-task language model (LM) probing with 1) expert-made templates and 2) naturally-occurring text have often been overlooked. Here, we evaluate 16 different LMs on 10 probing English datasets -- 4 template-based and 6 template-free -- in general and biomedical domains to answer the following research questions: (RQ1) Do model rankings differ between the two approaches? (RQ2) Do models' absolute scores differ between the two approaches? (RQ3) Do the answers to RQ1 and RQ2 differ between general and …

biomedical cs.cl cs.lg datasets differences domains english expert free general language language model lms questions rankings research template text

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