Zobrazeno 1 - 10
of 1 717
pro vyhledávání: '"P. Crabbé"'
Autor:
Beau, Nathanaël, Crabbé, Benoît
We introduce a novel dataset tailored for code generation, aimed at aiding developers in common tasks. Our dataset provides examples that include a clarified intent, code snippets associated, and an average of three related unit tests. It encompasses
Externí odkaz:
http://arxiv.org/abs/2409.16819
Tabular data is one of the most ubiquitous modalities, yet the literature on tabular generative foundation models is lagging far behind its text and vision counterparts. Creating such a model is hard, due to the heterogeneous feature spaces of differ
Externí odkaz:
http://arxiv.org/abs/2406.17673
Autor:
Huynh, Nicolas, Berrevoets, Jeroen, Seedat, Nabeel, Crabbé, Jonathan, Qian, Zhaozhi, van der Schaar, Mihaela
Identification and appropriate handling of inconsistencies in data at deployment time is crucial to reliably use machine learning models. While recent data-centric methods are able to identify such inconsistencies with respect to the training set, th
Externí odkaz:
http://arxiv.org/abs/2402.17599
Large Language Models (LLMs) have shown impressive abilities in data annotation, opening the way for new approaches to solve classic NLP problems. In this paper, we show how to use LLMs to create NuNER, a compact language representation model special
Externí odkaz:
http://arxiv.org/abs/2402.15343
Fourier analysis has been an instrumental tool in the development of signal processing. This leads us to wonder whether this framework could similarly benefit generative modelling. In this paper, we explore this question through the scope of time ser
Externí odkaz:
http://arxiv.org/abs/2402.05933
Autor:
Zeni, Claudio, Pinsler, Robert, Zügner, Daniel, Fowler, Andrew, Horton, Matthew, Fu, Xiang, Shysheya, Sasha, Crabbé, Jonathan, Sun, Lixin, Smith, Jake, Nguyen, Bichlien, Schulz, Hannes, Lewis, Sarah, Huang, Chin-Wei, Lu, Ziheng, Zhou, Yichi, Yang, Han, Hao, Hongxia, Li, Jielan, Tomioka, Ryota, Xie, Tian
The design of functional materials with desired properties is essential in driving technological advances in areas like energy storage, catalysis, and carbon capture. Generative models provide a new paradigm for materials design by directly generatin
Externí odkaz:
http://arxiv.org/abs/2312.03687
Autor:
Ahmed E. I. Hamouda, Jessica Filtjens, Elisabeth Brabants, Daliya Kancheva, Ayla Debraekeleer, Jan Brughmans, Lotte Jacobs, Pauline M. R. Bardet, Elisabeth Knetemann, Pierre Lefesvre, Lize Allonsius, Mark Gontsarik, Ismael Varela, Marian Crabbé, Emile J. Clappaert, Federica Cappellesso, Aarushi A. Caro, Alícia Gordún Peiró, Luna Fredericq, Eva Hadadi, Mariona Estapé Senti, Raymond Schiffelers, Leo A. van Grunsven, Frank Aboubakar Nana, Bruno G. De Geest, Sofie Deschoemaeker, Stefaan De Koker, Florence Lambolez, Damya Laoui
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Local delivery of mRNA-based immunotherapy offers a promising avenue as it enables the production of specific immunomodulatory proteins that can stimulate the immune system to recognize and eliminate cancer cells while limiting systemic expo
Externí odkaz:
https://doaj.org/article/5d3d46521d37404983a65684b85cc442
Data quality is crucial for robust machine learning algorithms, with the recent interest in data-centric AI emphasizing the importance of training data characterization. However, current data characterization methods are largely focused on classifica
Externí odkaz:
http://arxiv.org/abs/2310.18970
What distinguishes robust models from non-robust ones? While for ImageNet distribution shifts it has been shown that such differences in robustness can be traced back predominantly to differences in training data, so far it is not known what that tra
Externí odkaz:
http://arxiv.org/abs/2310.13040
Autor:
Ellen Goeteyn, Steven L. Taylor, Alison Dicker, Laura Bollé, Merel Wauters, Marie Joossens, Eva Van Braeckel, Jodie L. Simpson, Lucy Burr, James D. Chalmers, Geraint B. Rogers, Aurélie Crabbé
Publikováno v:
Respiratory Research, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Chronic airway disease (CAD) is characterized by chronic airway inflammation and colonization of the lungs by pro-inflammatory pathogens. However, while various other bacterial species are present in the lower airways, it is not f
Externí odkaz:
https://doaj.org/article/1a5ae15a9d77418383b415bd3d163f3f