New study reveals high rates of fabricated and inaccurate citations in LLM-generated mental health research
image: New Study Reveals High Rates of Fabricated and Inaccurate Citations in LLM-Generated Mental Health Research view more Credit: JMIR Publications (Toronto, November 17, 2025) A new study published in the peer-reviewed journal JMIR Mental Health by JMIR Publications highlights a critical risk in the growing use of Large Language Models (LLMs) like GPT-4o by researchers: the frequent fabrication and inaccuracy of bibliographic citations.
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Transforming Assessment Paradigms for Authenticity and Rigor in the AI Era
This article explores the essential shift needed in assessment methodologies to ensure they remain authentic and rigorous. It examines how educators can innovate assessment paradigms to meet the challenges and opportunities presented by the pervasive influence of artificial intelligence.
Designing a Comprehensive K-12 AI Literacy Framework for Students and Educators
This article details the design of a comprehensive K-12 AI literacy framework. It addresses the crucial need to equip both students and educators with fundamental AI knowledge, skills, and ethical understanding. The framework aims to seamlessly integrate AI concepts into the curriculum, fostering informed and responsible engagement with artificial intelligence.
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