SciGuard is proposed, an agent-based guardrail that employs large language models, tools and external knowledge to assess and control risks in scientific AI interactions, and achieves a state-of-the-art harmlessness score on red-teaming queries, while maintaining high performance on benign tasks, without sacrificing sc...
Jiyan He, Hao-Xiang Guan, Weitao Feng et al.· AI for Science· 26 citations· ⚡4
This study raises the research question of measuring human contribution in AI-assisted content generation and introduces a framework to address this question that is grounded in information theory and demonstrates that the proposed measure effectively discriminates between varying degrees of human contribution across m...
Yueqi Xie, Tao Qi, Jing-Wei Yi et al.· Annual Meeting of the Associ...· 8 citations· ⚡1
A deeper understanding of AI assistance in education is provided by showing how differences in learner profiles and learning behavior shape who benefits from AI-supported learning, and how learner profiles and learning behavior shape these patterns.
Jing-Wei Yi, Yueqi Xie, Jiyan He et al.· arXiv.org· 0 citations
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