Jianxiang Yu

ORCID: 0009-0007-9590-2523
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About
Contact & Profiles
Research Areas
  • Expert finding and Q&A systems
  • Online Learning and Analytics
  • Online and Blended Learning

Chongqing Technology and Business University
2023

In recent years, the rapid increase in scientific papers has overwhelmed traditional review mechanisms, resulting varying quality of publications. Although existing methods have explored capabilities Large Language Models (LLMs) for automated reviewing, their generated contents are often generic or partial. To address issues above, we introduce an paper reviewing framework SEA. It comprises three modules: Standardization, Evaluation, and Analysis, which represented by models SEA-S, SEA-E,...

10.48550/arxiv.2407.12857 preprint EN arXiv (Cornell University) 2024-07-09

Through comprehensive visual analysis of students' personal demographic information, course-specific details, and interactive data with courses, coupled machine learning algorithm modeling, it has been discerned that different course modules, students from diverse geographic origins educational backgrounds, as well the level deprivation in residential areas, all exert an influence on ultimate grades. Elevated levels student engagement materials a higher rate on-time assignment submissions...

10.1145/3660043.3660095 article EN 2023-12-22
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