text: several features of prompt examples, such as semantic '                 'similarity, show significant Spearman correlation with their '                 'prompting performance; yet, none of the correlations are strong '                 'enough; 3) using pseudo parallel prompt examples constructed '                 'from monolingual data via zero-shot prompting could improve '                 'translation; and 4) improved performance is achievable by '                 'transferring knowledge from prompt examples selected in other '                 'settings. We finally provide an analysis on the model outputs '                 'and discuss several problems that prompting still suffers from.',      'title': 'Prompting Large Language Model for Machine Translation: A Case '               'Study',      'link': 'http://arxiv.org/abs/2301.07069v2',      'engines': ['arxiv'],      'category': 'science'},     {'snippet': 'Large language models can perform new tasks in a zero-shot '                 'fashion, given natural language prompts that specify the desired '                 'behavior. Such prompts are typically hand