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Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?
Understanding how and what pre-trained language models (PLMs) learn about language is an open challenge in natural language processing. …
Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras
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How does the pre-training objective affect what large language models learn about linguistic properties?
Several pre-training objectives, such as masked language modeling (MLM), have been proposed to pre-train language models (e.g. BERT) …
Ahmed Alajrami, Nikolaos Aletras
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