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09/09/2023
Neurons in Large Language Models: Dead, N-gram, Positional
We analyze a family of large language models in such a lightweight manne...
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09/05/2023
Automating Behavioral Testing in Machine Translation
Behavioral testing in NLP allows fine-grained evaluation of systems by e...
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05/21/2023
Explaining How Transformers Use Context to Build Predictions
Language Generation Models produce words based on the previous context. ...
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10/06/2022
Toxicity in Multilingual Machine Translation at Scale
Machine Translation systems can produce different types of errors, some ...
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05/23/2022
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer
In Neural Machine Translation (NMT), each token prediction is conditione...
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04/19/2022
On the Locality of Attention in Direct Speech Translation
Transformers have achieved state-of-the-art results across multiple NLP ...
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03/08/2022
Measuring the Mixing of Contextual Information in the Transformer
The Transformer architecture aggregates input information through the se...
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09/13/2021
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions
This work proposes an extensive analysis of the Transformer architecture...
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12/24/2020
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
Multilingual Neural Machine Translation architectures mainly differ in t...
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06/16/2020
