Research on the Generation of Research Questions and Method Sentences from the Perspective of AIGC:Taking the Field of High-Energy Physics as an Example
[Research purpose]It takes a lot of time for researchers to search for literature related to their research direction from a mas-sive amount of literatures.Automatically extracting research questions and method sentences is of great significance for scholars to evaluate and choose appropriate methods during the research process.[Research method]Based on various deep learning classifiers,we construct classifiers for research directions in the field of physics,screen research in the field of high-energy physics,use generative large models to generate research questions and research method sentences for papers in the field of high-energy physics,and fine tune baichuan-7B to construct a question answering reasoning tool in the field of high-energy physics.[Research conclusion]Research has shown that SciB-ERT performs well in research field classification,with an F1 value of 82.71％.Baichuan-13B has a BLEU value of 0.311 for2-gram in research question and research method sentence generation.Ultimately,by fine-tuning the large model through the research question and research method library,the question answering function in the field of high-energy physics can be achieved.
AIGCresearch method sentenceAI4Shigh Energy Physicsdeep learning
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