activity
20192023
most citedA Virtual Teaching Assistant for Personalized Learning

15 citations · 27 across the 4 of their papers we have counts for

collaborators

6 papers

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.LG2021★ 1 cited

Complexity-based partitioning of CSFI problem instances with Transformers

Luca Benedetto, Paolo Fantozzi, Luigi Laura

In this paper, we propose a two-steps approach to partition instances of the Conjunctive Normal Form (CNF) Syntactic Formula Isomorphism problem (CSFI) into groups of different com…

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…

cs.LG2020★ 11 cited

R2DE: a NLP approach to estimating IRT parameters of newly generated questions

Luca Benedetto, Andrea Cappelli, Roberto Turrin +1

The main objective of exams consists in performing an assessment of students' expertise on a specific subject. Such expertise, also referred to as skill or knowledge level, can the…

cs.HC2019★ 15 cited

A Virtual Teaching Assistant for Personalized Learning

Luca Benedetto, Paolo Cremonesi, Manuel Parenti

In this extended abstract, we propose an intelligent system that can be used as a Personalized Virtual Teaching Assistant (PVTA) to improve the students learning experience both fo…