results show that schema prompts are the most '                 '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 to cross-prompt AES either require a certain quantity '                 'of labelled target-prompt essays or require a large quantity of '                 'unlabelled target-prompt essays to perform transfer learning in '                 'a multi-step manner. To address these issues, we introduce '                 'Prompt Agnostic Essay Scorer (PAES) for cross-prompt AES. Our '                 'method requires no access to labelled or unlabelled '                 'target-prompt data during training and is a single-stage '                 'approach. PAES is easy to apply in practice and achieves '                 'state-of-the-art performance on the Automated Student Assessment '                 'Prize (ASAP) dataset.',      'title': 'Prompt Agnostic Essay Scorer: A Domain Generalization Approach to '               'Cross-prompt Automated Essay Scoring',      'link':
This notebook goes over how to use a self hosted SearxNG search API to search the web.
This notebook goes over how to use a self hosted SearxNG search API to search the web. ->: results show that schema prompts are the most '                 '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 to cross-prompt AES either require a certain quantity '                 'of labelled target-prompt essays or require a large quantity of '                 'unlabelled target-prompt essays to perform transfer learning in '                 'a multi-step manner. To address these issues, we introduce '                 'Prompt Agnostic Essay Scorer (PAES) for cross-prompt AES. Our '                 'method requires no access to labelled or unlabelled '                 'target-prompt data during training and is a single-stage '                 'approach. PAES is easy to apply in practice and achieves '                 'state-of-the-art performance on the Automated Student Assessment '                 'Prize (ASAP) dataset.',      'title': 'Prompt Agnostic Essay Scorer: A Domain Generalization Approach to '               'Cross-prompt Automated Essay Scoring',      'link':