Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
Abstract: Leveraging few-shot datasets in prompt learning for Vision-Language Models eliminates the need for manual prompt engineering while highlighting the necessity of accurate annotations for the ...
Abstract: Reasoning is a central problem in artificial intelligence (AI). Natural language inference (NLI) is a fundamental task that aims to discern the logical relationship between two natural ...
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