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2020 – today
- 2023
[j1]Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom:
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023)- [c11]Mateo Mahaut, Francesca Franzon, Roberto Dessì, Marco Baroni:
Referential Communication in Heterogeneous Communities of Pre-trained Visual Deep Networks. AAMAS 2023: 2619-2621 - [c10]Roberto Dessì, Michele Bevilacqua, Eleonora Gualdoni, Nathanaël Carraz Rakotonirina, Francesca Franzon, Marco Baroni
:
Cross-Domain Image Captioning with Discriminative Finetuning. CVPR 2023: 6935-6944 - [c9]Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha:
Robustness of Named-Entity Replacements for In-Context Learning. EMNLP (Findings) 2023: 10914-10931 - [c8]Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni:
Can discrete information extraction prompts generalize across language models? ICLR 2023 - [c7]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS 2023 - [i11]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR abs/2302.04761 (2023) - [i10]Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom:
Augmented Language Models: a Survey. CoRR abs/2302.07842 (2023) - [i9]Mateo Mahaut, Francesca Franzon, Roberto Dessì, Marco Baroni:
Referential communication in heterogeneous communities of pre-trained visual deep networks. CoRR abs/2302.08913 (2023) - [i8]Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni:
Can discrete information extraction prompts generalize across language models? CoRR abs/2302.09865 (2023) - [i7]Roberto Dessì, Michele Bevilacqua, Eleonora Gualdoni, Nathanaël Carraz Rakotonirina, Francesca Franzon, Marco Baroni:
Cross-Domain Image Captioning with Discriminative Finetuning. CoRR abs/2304.01662 (2023) - 2022
- [c6]Roberto Dessì, Eleonora Gualdoni, Francesca Franzon, Gemma Boleda, Marco Baroni:
Communication breakdown: On the low mutual intelligibility between human and neural captioning. EMNLP 2022: 7998-8007 - [i6]Roberto Dessì, Eleonora Gualdoni, Francesca Franzon, Gemma Boleda, Marco Baroni:
Communication breakdown: On the low mutual intelligibility between human and neural captioning. CoRR abs/2210.11512 (2022) - 2021
- [c5]Rahma Chaabouni, Roberto Dessì, Eugene Kharitonov:
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN. BlackboxNLP@EMNLP 2021: 136-148 - [c4]Roberto Dessì, Eugene Kharitonov, Marco Baroni:
Interpretable agent communication from scratch (with a generic visual processor emerging on the side). NeurIPS 2021: 26937-26949 - [i5]Roberto Dessì, Eugene Kharitonov, Marco Baroni:
Interpretable agent communication from scratch(with a generic visual processor emerging on the side). CoRR abs/2106.04258 (2021) - [i4]Rahma Chaabouni, Roberto Dessì, Eugene Kharitonov:
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN. CoRR abs/2107.01366 (2021)
2010 – 2019
- 2019
- [c3]Roberto Dessì, Marco Baroni:
CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks. ACL (1) 2019: 3919-3923 - [c2]Mattia Antonino Di Gangi, Matteo Negri, Roldano Cattoni, Roberto Dessì, Marco Turchi:
Enhancing Transformer for End-to-end Speech-to-Text Translation. MTSummit (1) 2019: 21-31 - [i3]Roberto Dessì, Marco Baroni:
CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks. CoRR abs/1905.08527 (2019) - [i2]Roberto Dessì, Diane Bouchacourt, Davide Crepaldi, Marco Baroni:
Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game. CoRR abs/1911.01892 (2019) - 2018
- [c1]Mattia Antonino Di Gangi, Roberto Dessì, Roldano Cattoni, Matteo Negri, Marco Turchi:
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018. IWSLT 2018: 147-152 - [i1]Mattia Antonino Di Gangi, Roberto Dessì, Roldano Cattoni, Matteo Negri, Marco Turchi:
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018. CoRR abs/1810.07652 (2018)
Coauthor Index
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