The authors curate a new structured dataset of Palaeohispanic inscriptions formatted for machine learning applications.
N., Kaiser, ., and Polosukhin, I
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Category theory proves prompt-based learning on perfect foundation models works only for representable tasks, fine-tuning solves tasks in the pretext category, and models can represent unseen target-category objects using source-category structure.
citing papers explorer
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Curation of a Palaeohispanic Dataset for Machine Learning
The authors curate a new structured dataset of Palaeohispanic inscriptions formatted for machine learning applications.
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On the Power of Foundation Models
Category theory proves prompt-based learning on perfect foundation models works only for representable tasks, fine-tuning solves tasks in the pretext category, and models can represent unseen target-category objects using source-category structure.