15 citations · 27 across the 4 of their papers we have counts for
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cs.CL2023
On the application of Large Language Models for language teaching and assessment technology
Andrew Caines, Luca Benedetto, Shiva Taslimipoor +12
The recent release of very large language models such as PaLM and GPT-4 has made an unprecedented impact in the popular media and public consciousness, giving rise to a mixture of…
cs.CL2023
A quantitative study of NLP approaches to question difficulty estimation
Luca Benedetto
Recent years witnessed an increase in the amount of research on the task of Question Difficulty Estimation from Text QDET with Natural Language Processing (NLP) techniques, with th…
cs.CL2020
Introducing a framework to assess newly created questions with Natural Language Processing
Luca Benedetto, Andrea Cappelli, Roberto Turrin +1
Statistical models such as those derived from Item Response Theory (IRT) enable the assessment of students on a specific subject, which can be useful for several purposes (e.g., le…