Grounded textual entailment HT Vu, C Greco, A Erofeeva, S Jafaritazehjan, G Linders, M Tanti, ... arXiv preprint arXiv:1806.05645, 2018 | 38 | 2018 |
Llms instead of human judges? a large scale empirical study across 20 nlp evaluation tasks A Bavaresco, R Bernardi, L Bertolazzi, D Elliott, R Fernández, A Gatt, ... arXiv preprint arXiv:2406.18403, 2024 | 24 | 2024 |
Looking for confirmations: An effective and human-like visual dialogue strategy A Testoni, R Bernardi arXiv preprint arXiv:2109.05312, 2021 | 11 | 2021 |
A software architecture for generic human activity recognition from smartphone sensor data A Testoni, M Di Felice 2017 IEEE International Workshop on Measurement and Networking (M&N), 1-6, 2017 | 11 | 2017 |
They are not all alike: Answering different spatial questions requires different grounding strategies A Testoni, C Greco, T Bianchi, M Mazuecos, A Marcante, L Benotti, ... Proceedings of the Third International Workshop on Spatial Language …, 2020 | 10 | 2020 |
Artificial intelligence models do not ground negation, humans do. guesswhat?! dialogues as a case study A Testoni, C Greco, R Bernardi Frontiers in big Data 4, 736709, 2022 | 7 | 2022 |
The interplay of task success and dialogue quality: An in-depth evaluation in task-oriented visual dialogues A Testoni, R Bernardi arXiv preprint arXiv:2103.11151, 2021 | 7 | 2021 |
“I’ve Seen Things You People Wouldn’t Believe”: Hallucinating Entities in GuessWhat?! A Testoni, R Bernardi Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 6 | 2021 |
Grounding dialogue history: Strengths and weaknesses of pre-trained transformers C Greco, A Testoni, R Bernardi International Conference of the Italian Association for Artificial …, 2020 | 6 | 2020 |
On the role of effective and referring questions in GuessWhat?! M Mazuecos, A Testoni, R Bernardi, L Benotti Proceedings of the first workshop on advances in language and vision …, 2020 | 6 | 2020 |
Quantifiers in a multimodal world: Hallucinating vision with language and sound A Testoni, S Pezzelle, R Bernardi Proceedings of the workshop on cognitive modeling and computational …, 2019 | 6 | 2019 |
The devil is in the detail: A magnifying glass for the GuessWhich visual dialogue game A Testoni, S Ravi, F Raquel, R Bernardi Proceedings (SemDial), 15-24, 2019 | 6 | 2019 |
Jointly Learning to See, Ask, Decide when to Stop, and then GuessWhat. R Shekhar, A Testoni, R Fernández, R Bernardi CLiC-it, 2019 | 4 | 2019 |
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions A Testoni, R Fernández arXiv preprint arXiv:2402.06509, 2024 | 3 | 2024 |
Visually grounded follow-up questions: a dataset of spatial questions which require dialogue history T Dong, A Testoni, L Benotti, R Bernardi Proceedings of Second International Combined Workshop on Spatial Language …, 2021 | 3 | 2021 |
The Efficiency of Question‐Asking Strategies in a Real‐World Visual Search Task A Testoni, R Bernardi, A Ruggeri Cognitive Science 47 (12), e13396, 2023 | 2 | 2023 |
A small but informed and diverse model: The case of the multimodal guesswhat!? guessing game C Greco, A Testoni, R Bernardi, S Frank Proceedings of the 2022 CLASP Conference on (Dis) embodiment, 1-10, 2022 | 2 | 2022 |
Garbage in, flowers out: noisy training data help generative models at test time A Testoni, R Bernardi IJCoL. Italian Journal of Computational Linguistics 8 (8-1), 2022 | 2 | 2022 |
ACT-thor: A controlled benchmark for embodied action understanding in simulated environments M Hanna, F Pedeni, A Testoni, A Suglia, R Bernardi Proceedings of the 29th International Conference on Computational …, 2022 | 2 | 2022 |
Overprotective training environments fall short at testing time: Let models contribute to their own training A Testoni, R Bernardi arXiv preprint arXiv:2103.11145, 2021 | 2 | 2021 |