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Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection


Aug 18, 2022
Daniele Comi, Dimitrios Christofidellis, Pier Francesco Piazza, Matteo Manica

* 7 pages, 3 figures, 7 tables, https://github.com/GT4SD/zberta 

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GT4SD: Generative Toolkit for Scientific Discovery


Jul 08, 2022
Matteo Manica, Joris Cadow, Dimitrios Christofidellis, Ashish Dave, Jannis Born, Dean Clarke, Yves Gaetan Nana Teukam, Samuel C. Hoffman, Matthew Buchan, Vijil Chenthamarakshan, Timothy Donovan, Hsiang Han Hsu, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh, Alexy Khrabrov, Payel Das, Seiji Takeda, John R. Smith

* 7 pages, 3 figures 

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Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens


Feb 01, 2022
Jannis Born, Matteo Manica


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Multitask Prompted Training Enables Zero-Shot Task Generalization


Oct 15, 2021
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush

* https://github.com/bigscience-workshop/promptsource/ 

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Understood in Translation, Transformers for Domain Understanding


Dec 18, 2020
Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos, Hans Vandierendonck

* 4 figures, 7 tables, main text pages 8, appendix pages 6 

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Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks


Dec 05, 2020
Modestas Filipavicius, Matteo Manica, Joris Cadow, Maria Rodriguez Martinez

* 20 pages, 12 figures, accepted to Machine Learning for Structural Biology (MLSB) workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS) 

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Hierarchical Pre-training for Sequence Labelling in Spoken Dialog


Oct 03, 2020
Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloe Clavel

* EMNLP 2020 

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PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models


May 31, 2020
Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, María Rodríguez Martínez

* 5 pages, 6 figures 

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