text: 'effective in general. Besides, the performance gaps tend to '                 'diminish when the scale of training data grows large.',      'title': 'Do Prompts Solve NLP Tasks Using Natural Language?',      'link': 'http://arxiv.org/abs/2203.00902v1',      'engines': ['arxiv'],      'category': 'science'},     {'snippet': 'Cross-prompt automated essay scoring (AES) requires the system '                 'to use non target-prompt essays to award scores to a '                 'target-prompt essay. Since obtaining a large quantity of '                 'pre-graded essays to a particular prompt is often difficult and '                 'unrealistic, the task of cross-prompt AES is vital for the '                 'development of real-world AES systems, yet it remains an '                 'under-explored area of research. Models designed for '                 'prompt-specific AES rely heavily on prompt-specific knowledge '                 'and perform poorly in the cross-prompt setting, whereas current '                 'approaches