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Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis
Language Confusion is a phenomenon where Large Language Models (LLMs) generate text that is neither in the desired language, nor in a …
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Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers
End of semester student evaluations of teaching are the dominant mechanism for providing feedback to academics on their teaching …
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The Responsible Development of Automated Student Feedback with Generative AI
Providing rich feedback to students is essential for supporting student learning. Recent advances in Generative Artificial …
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Patterns of Persistence and Diffusibility across World's Languages
Language similarities can be caused by genetic relatedness, areal contact, universality, or chance. Colexification, i.e. a type of …
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