Zobrazeno 1 - 10
of 4 036
pro vyhledávání: '"AGIRRE, A."'
The search for quantum algorithms to tackle classical combinatorial optimization problems has long been one of the most attractive yet challenging research topics in quantum computing. In this context, variational quantum algorithms (VQA) are a promi
Externí odkaz:
http://arxiv.org/abs/2408.12648
Autor:
Sainz, Oscar, García-Ferrero, Iker, Jacovi, Alon, Campos, Jon Ander, Elazar, Yanai, Agirre, Eneko, Goldberg, Yoav, Chen, Wei-Lin, Chim, Jenny, Choshen, Leshem, D'Amico-Wong, Luca, Dell, Melissa, Fan, Run-Ze, Golchin, Shahriar, Li, Yucheng, Liu, Pengfei, Pahwa, Bhavish, Prabhu, Ameya, Sharma, Suryansh, Silcock, Emily, Solonko, Kateryna, Stap, David, Surdeanu, Mihai, Tseng, Yu-Min, Udandarao, Vishaal, Wang, Zengzhi, Xu, Ruijie, Yang, Jinglin
The 1st Workshop on Data Contamination (CONDA 2024) focuses on all relevant aspects of data contamination in natural language processing, where data contamination is understood as situations where evaluation data is included in pre-training corpora u
Externí odkaz:
http://arxiv.org/abs/2407.21530
Existing Vision-Language Compositionality (VLC) benchmarks like SugarCrepe are formulated as image-to-text retrieval problems, where, given an image, the models need to select between the correct textual description and a synthetic hard negative text
Externí odkaz:
http://arxiv.org/abs/2406.09952
Cross-lingual transfer-learning is widely used in Event Extraction for low-resource languages and involves a Multilingual Language Model that is trained in a source language and applied to the target language. This paper studies whether the typologic
Externí odkaz:
http://arxiv.org/abs/2404.06392
Autor:
Etxaniz, Julen, Sainz, Oscar, Perez, Naiara, Aldabe, Itziar, Rigau, German, Agirre, Eneko, Ormazabal, Aitor, Artetxe, Mikel, Soroa, Aitor
Publikováno v:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14952--14972. 2024
We introduce Latxa, a family of large language models for Basque ranging from 7 to 70 billion parameters. Latxa is based on Llama 2, which we continue pretraining on a new Basque corpus comprising 4.3M documents and 4.2B tokens. Addressing the scarci
Externí odkaz:
http://arxiv.org/abs/2403.20266
This paper shows that text-only Language Models (LM) can learn to ground spatial relations like "left of" or "below" if they are provided with explicit location information of objects and they are properly trained to leverage those locations. We perf
Externí odkaz:
http://arxiv.org/abs/2403.13666
Autor:
Salaberria, Ander, Azkune, Gorka, de Lacalle, Oier Lopez, Soroa, Aitor, Agirre, Eneko, Keller, Frank
Existing work has observed that current text-to-image systems do not accurately reflect explicit spatial relations between objects such as 'left of' or 'below'. We hypothesize that this is because explicit spatial relations rarely appear in the image
Externí odkaz:
http://arxiv.org/abs/2403.00587
Table-to-text generation involves generating appropriate textual descriptions given structured tabular data. It has attracted increasing attention in recent years thanks to the popularity of neural network models and the availability of large-scale d
Externí odkaz:
http://arxiv.org/abs/2311.09808
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The anti-polyelectrolyte effect, a characteristic unique to polymer chains containing zwitterions, was investigated for its impact on colloidal stabilization during emulsion polymerization and on the resulting polymer characteristics. The zw
Externí odkaz:
https://doaj.org/article/8c0f62fee14e4afda3e77ba81e320299
Autor:
Francisco Exposito, Miriam Redrado, Diego Serrano, Silvia Calabuig-Fariñas, Aida Bao-Caamano, Sandra Gallach, Eloisa Jantus-Lewintre, Angel Diaz-Lagares, Aitor Rodriguez-Casanova, Juan Sandoval, Edurne San Jose-Eneriz, Javier Garcia, Esther Redin, Yaiza Senent, Sergio Leon, Ruben Pio, Rafael Lopez, Julen Oyarzabal, Antonio Pineda-Lucena, Xabier Agirre, Luis M. Montuenga, Felipe Prosper, Alfonso Calvo
Publikováno v:
Cell Death and Disease, Vol 15, Iss 11, Pp 1-16 (2024)
Abstract The treatment of non-small cell lung cancer (NSCLC) patients has significantly improved with recent therapeutic strategies; however, many patients still do not benefit from them. As a result, new treatment approaches are urgently needed. In
Externí odkaz:
https://doaj.org/article/6e85bcef9c6c4041a19b62d5fdc24ce3