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Found 2 papers, 1 papers with code
Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
Sensemaking in unfamiliar domains can be challenging, demanding considerable user effort to compare different options with respect to various criteria.
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods
We demonstrated the effectiveness of the two methods in identifying common item-writing flaws present in the student-generated questions across different subject areas.
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