5 citations · 5 across the 5 of their papers we have counts for
5 papers
EVE: A Domain-Specific LLM Framework for Earth Intelligence
Àlex R. Atrio, Antonio Lopez, Jino Rohit +6
We introduce Earth Virtual Expert (EVE), the first open-source, end-to-end initiative for developing and deploying domain-specialized LLMs for Earth Intelligence. At its core is EV…
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?
Àlex R. Atrio, Alexis Allemann, Ljiljana Dolamic +1
Many-to-one neural machine translation systems improve over one-to-one systems when training data is scarce. In this paper, we design and test a novel algorithm for selecting the l…
Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning
Alexis Allemann, Àlex R. Atrio, Andrei Popescu-Belis
Multilingual NMT is a viable solution for translating low-resource languages (LRLs) when data from high-resource languages (HRLs) from the same language family is available. Howeve…
Small Batch Sizes Improve Training of Low-Resource Neural MT
Àlex R. Atrio, Andrei Popescu-Belis
We study the role of an essential hyper-parameter that governs the training of Transformers for neural machine translation in a low-resource setting: the batch size. Using theoreti…
On the Effect of Word Order on Cross-lingual Sentiment Analysis
Àlex R. Atrio, Toni Badia, Jeremy Barnes
Current state-of-the-art models for sentiment analysis make use of word order either explicitly by pre-training on a language modeling objective or implicitly by using recurrent ne…