| Toolformer: Language models can teach themselves to use tools T Schick, J Dwivedi-Yu, R Dessė, R Raileanu, M Lomeli, E Hambro, ... Advances in Neural Information Processing Systems 36, 2024 | 1102 | 2024 |
| Augmented language models: a survey G Mialon, R Dessė, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ... arXiv preprint arXiv:2302.07842, 2023 | 400 | 2023 |
| Enhancing transformer for end-to-end speech-to-text translation MA Di Gangi, M Negri, R Cattoni, R Dessi, M Turchi Proceedings of Machine Translation Summit XVII: Research Track, 21-31, 2019 | 68 | 2019 |
| CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks R Dessė, M Baroni arXiv preprint arXiv:1905.08527, 2019 | 55 | 2019 |
| Interpretable agent communication from scratch (with a generic visual processor emerging on the side) R Dessė, E Kharitonov, M Baroni Advances in Neural Information Processing Systems 34, 26937-26949, 2021 | 29 | 2021 |
| Can transformers jump around right in natural language? assessing performance transfer from SCAN R Chaabouni, R Dessė, E Kharitonov arXiv preprint arXiv:2107.01366, 2021 | 19 | 2021 |
| Cross-domain image captioning with discriminative finetuning R Dessė, M Bevilacqua, E Gualdoni, NC Rakotonirina, F Franzon, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Fine-tuning on clean data for end-to-end speech translation: FBK@ IWSLT 2018 MA Di Gangi, R Dessė, R Cattoni, M Negri, M Turchi arXiv preprint arXiv:1810.07652, 2018 | 8 | 2018 |
| Time heals all (shallow) wounds: A lesson on forgiveness of ingroup transgressors learned by the Feyenoord Vandal fans M Rullo, F Presaghi, S Livi, S Mazzuca, R Dessi Social Sciences 6 (3), 83, 2017 | 8 | 2017 |
| Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game R Dessė, D Bouchacourt, D Crepaldi, M Baroni arXiv preprint arXiv:1911.01892, 2019 | 7 | 2019 |
| Can discrete information extraction prompts generalize across language models? NC Rakotonirina, R Dessi, F Petroni, S Riedel, M Baroni arXiv preprint arXiv:2302.09865, 2023 | 6 | 2023 |
| Communication breakdown: On the low mutual intelligibility between human and neural captioning R Dessė, E Gualdoni, F Franzon, G Boleda, M Baroni arXiv preprint arXiv:2210.11512, 2022 | 6 | 2022 |
| Referential communication in heterogeneous communities of pre-trained visual deep networks M Mahaut, F Franzon, R Dessė, M Baroni arXiv preprint arXiv:2302.08913, 2023 | 4 | 2023 |
| Emergent language-based coordination in deep multi-agent systems M Baroni, R Dessė, A Lazaridou Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 4 | 2022 |
| Robustness of Named-Entity Replacements for In-Context Learning S Goodarzi, N Kagita, D Minn, S Wang, R Dessė, S Toshniwal, A Williams, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 10914 …, 2023 | 1 | 2023 |
Timo SchickNLP ResearcherVerified email at fb.com
