지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.11
- 수록면
- 357 - 391 (35page)
- DOI
- 10.24285/CLER.2024.11.44.357
이용수
초록· 키워드
오류제보하기
This study evaluated the Chinese reading comprehension abilities of ERNIE Bot, a leading Chinese generative AI, using HSK reading test items. Results showed that ERNIE Bot demonstrates excellent overall Chinese reading comprehension skills, with the pre-trained model excelling in vocabulary and discourse domains, while the fine-tuned model showed significant improvements in grammar and cohesion areas. ERNIE Bot performed best with longer texts providing ample context, and its recently expanded prompt length capacity allows for inputting comprehensive HSK test items across various domains.
The research’s significance lies in its systematic analysis of a Chinese AI’s reading comprehension abilities, suggesting potential applications in Chinese language education and assessment. By comparing pre-trained and fine-tuned models, the study verified ERNIE Bot’s learning capacity and improvement potential.
However, ERNIE Bot showed limitations in understanding basic test-taking rules, logical relationships between short sentences, and comprehension of isolated sentences. Overcoming these limitations requires careful prompt design and involvement of education experts.
Future research should focus on comparative studies of various Chinese AI models, practical application studies in educational settings, and methodological research to address ERNIE Bot’s limitations. In conclusion, ERNIE Bot demonstrated high-level performance in Chinese reading comprehension, with potential for improvement through fine-tuning, promising qualitative advancements in Chinese language education through further research and practical applications.
The research’s significance lies in its systematic analysis of a Chinese AI’s reading comprehension abilities, suggesting potential applications in Chinese language education and assessment. By comparing pre-trained and fine-tuned models, the study verified ERNIE Bot’s learning capacity and improvement potential.
However, ERNIE Bot showed limitations in understanding basic test-taking rules, logical relationships between short sentences, and comprehension of isolated sentences. Overcoming these limitations requires careful prompt design and involvement of education experts.
Future research should focus on comparative studies of various Chinese AI models, practical application studies in educational settings, and methodological research to address ERNIE Bot’s limitations. In conclusion, ERNIE Bot demonstrated high-level performance in Chinese reading comprehension, with potential for improvement through fine-tuning, promising qualitative advancements in Chinese language education through further research and practical applications.
목차
Ⅰ. 서론
Ⅱ. 중국의 생성형 AI 개발 현황
Ⅲ. 생성형 AI의 HSK 독해 능력 평가 실험
Ⅳ. 실험 결과 분석
Ⅴ. 결론
참고문헌
ABSTRACT
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