电子学报2024，Vol.52Issue(2)：633-659,27.DOI:10.12263/DZXB.20230826
基于内在质量约束的文本生成和评价综述
A Survey of Text Generation and Evaluation Based on Intrinsic Quality Constraints
摘要
Abstract
Recently,the outstanding text generation language models represented by ChatGPT,which can adapt to complex scenes and meet various application demands of human beings,has become the focuses of both the academic and industrial circles.However,the advantage of large language models(LLM)such as ChatGPT that are highly faithful to user intent implies some factual errors,and it is also necessary to rely on prompt content to control the detailed generation quality and domain adaptability,so it is still of great significance to study text generation with intrinsic quality constraints as the core.Based on the comparative study of key content generation models and technologies in recent years,this paper defined the basic form of text generation with intrinsic quality constraints,and six quality features based on"credibility,expressiveness and elegance".In view of these 6 quality features,we provided analysis and comparison of generator mod-el design and related algorithms.Besides,various automatic and human evaluation methods for different intrinsic quality features are summarized.Finally,this paper looks forward to the future research directions of intrinsic quality constraint technology.关键词
自然语言处理/语言模型/文本生成/文本质量/文本评价Key words
natural language processing/language model/text generation/text quality/text evaluation分类
信息技术与安全科学引用本文复制引用
兰玉乾,饶元,李冠呈,孙菱,夏昺灿,辛婷婷..基于内在质量约束的文本生成和评价综述[J].电子学报,2024,52(2):633-659,27.基金项目
国家自然科学基金重点项目(No.U22B2036) （No.U22B2036）
科技部重点研发计划项目(No.2019YFB2102300) （No.2019YFB2102300）
中央高校建设世界一流大学(学科)和特色发展引导专项资金项目(No.PY3A022) National Natural Science Foundation of China(No.U22B2036) （学科）
National Key Research and Development Program of China(No.2019YFB2102300) （No.2019YFB2102300）
Special Funds Program for Central Universities to Build World-class Universities(Disciplines)and Guide the Development of Special Features(No.PY3A022) （Disciplines）
