E-LIB Suche - Ergebnisse für: Ferrando, Javier

1

Improving Accuracy and Speeding Up Document Image Classific..:

, In: Lecture Notes in Computer Science; Computational Science – ICCS 2020,

Ferrando, Javier ; Domínguez, Juan Luis ; Torres, Jordi... - p. 387-400 , 2020

Link: https://doi.org/10.1007/..

2

Neurons in Large Language Models: Dead, N-gram, Positional:

Voita, Elena ; Ferrando, Javier ; Nalmpantis, Christoforos
http://arxiv.org/abs/2309.04827. , 2023

Link: http://arxiv.org/abs/230..

3

Automating Behavioral Testing in Machine Translation:

Ferrando, Javier ; Sperber, Matthias ; Setiawan, Hendra..
http://arxiv.org/abs/2309.02553. , 2023

Link: http://arxiv.org/abs/230..

4

Explaining How Transformers Use Context to Build Prediction:

Ferrando, Javier ; Gállego, Gerard I ; Tsiamas, Ioannis.
http://arxiv.org/abs/2305.12535. , 2023

Link: http://arxiv.org/abs/230..

5

On the Locality of Attention in Direct Speech Translation:

Alastruey, Belen ; Ferrando, Javier ; Gállego, Gerard I.
http://arxiv.org/abs/2204.09028. , 2022

Link: http://arxiv.org/abs/220..

6

Towards Opening the Black Box of Neural Machine Translation..:

Ferrando, Javier ; Gállego, Gerard I ; Alastruey, Belen..
http://arxiv.org/abs/2205.11631. , 2022

Link: http://arxiv.org/abs/220..

7

Toxicity in Multilingual Machine Translation at Scale:

Costa-jussà, Marta R ; Smith, Eric ; Ropers, Christophe...
http://arxiv.org/abs/2210.03070. , 2022

Link: http://arxiv.org/abs/221..

8

Measuring the Mixing of Contextual Information in the Trans..:

Ferrando, Javier ; Gállego, Gerard I ; Costa-jussà, Marta R
http://arxiv.org/abs/2203.04212. , 2022

Link: http://arxiv.org/abs/220..

9

Attention Weights in Transformer NMT Fail Aligning Words Be..:

Ferrando, Javier ; Costa-jussà, Marta R
http://arxiv.org/abs/2109.05853. , 2021

Link: http://arxiv.org/abs/210..

10

Improving accuracy and speeding up Document Image Classific..:

Ferrando, Javier ; Dominguez, Juan Luis ; Torres, Jordi...
http://arxiv.org/abs/2006.09141. , 2020

Link: http://arxiv.org/abs/200..

11

Gender Bias in Multilingual Neural Machine Translation: The..:

Costa-jussà, Marta R ; Escolano, Carlos ; Basta, Christine...
http://arxiv.org/abs/2012.13176. , 2020

Link: http://arxiv.org/abs/201..

12

Explaining how transformers use context to build prediction:

Ferrando Monsonís, Javier ; Gallego Olsina, Gerard Ion ; Tsiamas, Ioannis.
https://aclanthology.org/2023.acl-long.301/. , 2023

Link: http://hdl.handle.net/21..

13

Explaining how transformers use context to build prediction:

Ferrando Monsonís, Javier ; Gallego Olsina, Gerard Ion ; Tsiamas, Ioannis.
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107579RB-I00/ES/ARQUITECTURAS AVANZADAS DE APRENDIZAJE PROFUNDO APLICADAS AL PROCESADO DE VOZ, AUDIO Y LENGUAJE/. , 2023

Link: http://hdl.handle.net/21..

14

Measuring the mixing of contextual information in the trans..:

Ferrando Monsonís, Javier ; Gallego Olsina, Gerard Ion ; Ruiz Costa-Jussà, Marta
https://aclanthology.org/2022.emnlp-main.595/. , 2022

Link: http://hdl.handle.net/21..

15

On the locality of attention in direct speech translation:

Alastruey Lasheras, Belén ; Ferrando Monsonís, Javier ; Gallego Olsina, Gerard Ion.
https://aclanthology.org/2022.acl-srw.32/. , 2022

Link: http://hdl.handle.net/21..