| R2DE: a NLP approach to estimating IRT parameters of newly generated questions L Benedetto, A Cappelli, R Turrin, P Cremonesi Proceedings of the Tenth International Conference on Learning Analytics …, 2020 | 42 | 2020 |
| Introducing a framework to assess newly created questions with Natural Language Processing L Benedetto, A Cappelli, R Turrin, P Cremonesi Artificial Intelligence in Education: 21st International Conference, AIED 2020, 2020 | 22 | 2020 |
| A Virtual Teaching Assistant for Personalized Learning L Benedetto, P Cremonesi, M Parenti arXiv preprint arXiv:1902.09289, 2019 | 22 | 2019 |
| On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text L Benedetto, G Aradelli, P Cremonesi, A Cappelli, A Giussani, R Turrin Proceedings of the 16th Workshop on Innovative Use of NLP for Building …, 2021 | 21 | 2021 |
| On the application of Large Language Models for language teaching and assessment technology A Caines, L Benedetto, S Taslimipoor, C Davis, Y Gao, O Andersen, ... arXiv preprint arXiv:2307.08393, 2023 | 18 | 2023 |
| A survey on recent approaches to question difficulty estimation from text L Benedetto, P Cremonesi, A Caines, P Buttery, A Cappelli, A Giussani, ... ACM Computing Surveys 55 (9), 1-37, 2023 | 16 | 2023 |
| Rexy, A Configurable Application for Building Virtual Teaching Assistants L Benedetto, P Cremonesi IFIP Conference on Human-Computer Interaction, 233-241, 2019 | 13 | 2019 |
| Towards the application of calibrated Transformers to the unsupervised estimation of question difficulty from text E Loginova, L Benedetto, D Benoit, P Cremonesi RANLP 2021, 846-855, 2021 | 8 | 2021 |
| A quantitative study of NLP approaches to question difficulty estimation L Benedetto International Conference on Artificial Intelligence in Education, 428-434, 2023 | 4 | 2023 |
| The Cambridge Multiple-Choice Questions Reading Dataset A Mullooly, Ø Andersen, L Benedetto, P Buttery, A Caines, MJF Gales, ... Cambridge University Press and Assessment, 2023 | 3 | 2023 |
| An assessment of recent techniques for question difficulty estimation from text L Benedetto | 2 | 2022 |
| Complexity-based partitioning of CSFI problem instances with Transformers L Benedetto, P Fantozzi, L Laura arXiv preprint arXiv:2106.14481, 2021 | | 2021 |
| A Machine Learning Approach to Detecting Cyber Security Issues on PCs and Printers L Benedetto Politecnico di Torino, 2018 | | 2018 |
Paolo CremonesiDept. Computer Engineering, Politecnico di MilanoVerified email at polimi.it
