Pretraining is the preliminary and fundamental step in developing capabl...
Large language models (LLMs) can be used to generate smaller, more refin...
The task of inserting text into a specified position in a passage, known...
Large language models have been shown to achieve remarkable performance
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In this paper, we leverage large language models (LMs) to perform zero-s...
As neural language models grow in effectiveness, they are increasingly b...
We describe an "interpretability illusion" that arises when analyzing th...
We present the Language Interpretability Tool (LIT), an open-source plat...
Transformer architectures show significant promise for natural language
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One characteristic of human visual perception is the presence of "Gestal...
Machine learning (ML) is increasingly being used in image retrieval syst...
The increasing availability of large institutional and public histopatho...
Embeddings are ubiquitous in machine learning, appearing in recommender
...