Marcos Treviso
14 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
Achievements
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(34)
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(14)
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The Questioner
Conferences
ACL (5)
EMNLP (5)
NIPS (2)
EACL (1)
JMLR (1)
Top co-authors
Keywords
quality estimation
(5)
machine translation
(4)
word-level prediction
(4)
attention mechanism
(4)
sparse attention
(3)
sentence-level prediction
(3)
neural machine translation
(2)
neural network optimization
(2)
exponential family
(2)
explanation generation
(1)
transformer efficiency
(1)
model robustness
(1)
ensemble learning
(1)
explainable ai
(1)
data augmentation
(1)
natural language inference
(1)
feature selection
(1)
statistical machine translation
(1)
sparse distribution
(1)
model interpretability
(1)
Papers
How Effective Are State Space Models for Machine Translation?
EMNLP 2024
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
ACL 2023
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics
ACL 2023
Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task
EMNLP 2023
Learning to Scaffold: Optimizing Model Explanations for Teaching
NIPS 2022
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
EMNLP 2022
Sparse Continuous Distributions and Fenchel-Young Losses
JMLR 2022
Predicting Attention Sparsity in Transformers
ACL 2022
IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task
EMNLP 2021
Sparse and Continuous Attention Mechanisms
NIPS 2020
The Explanation Game: Towards Prediction Explainability through Sparse Communication
EMNLP 2020
Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
ACL 2019
OpenKiwi: An Open Source Framework for Quality Estimation
ACL 2019
Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks
EACL 2017