text: prompt programming, '                 'emphasizing the usefulness of considering prompts through the '                 'lens of natural language. We explore techniques for exploiting '                 'the capacity of narratives and cultural anchors to encode '                 'nuanced intentions and techniques for encouraging deconstruction '                 'of a problem into components before producing a verdict. '                 'Informed by this more encompassing theory of prompt programming, '                 'we also introduce the idea of a metaprompt that seeds the model '                 'to generate its own natural language prompts for a range of '                 'tasks. Finally, we discuss how these more general methods of '                 'interacting with language models can be incorporated into '                 'existing and future benchmarks and practical applications.',      'title': 'Prompt Programming for Large Language Models: Beyond the Few-Shot '               'Paradigm',      'link': 'http://arxiv.org/abs/2102.07350v1',      'engines': ['arxiv'],