text: the '                 'unique â€¦',      'title': 'Can language models learn from explanations in context?',      'link': 'https://arxiv.org/abs/2204.02329',      'engines': ['google scholar'],      'category': 'science'}]Get papers from arxivresults = search.results(    "Large Language Model prompt", num_results=5, engines=["arxiv"])pprint.pp(results)    [{'snippet': 'Thanks to the advanced improvement of large pre-trained language '                 'models, prompt-based fine-tuning is shown to be effective on a '                 'variety of downstream tasks. Though many prompting methods have '                 'been investigated, it remains unknown which type of prompts are '                 'the most effective among three types of prompts (i.e., '                 'human-designed prompts, schema prompts and null prompts). In '                 'this work, we empirically compare the three types of prompts '                 'under both few-shot and fully-supervised settings. Our '                 'experimental results show that schema prompts are the most '                 'effective in general. Besides,