Marcos Treviso
14 papers · 2017–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (31) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
(72)
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Trend Setter
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Century Club · Bronze
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Unstoppable · Bronze
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The Questioner
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Research topics
Deep Learning
(10)
Artificial Intelligence
(9)
Natural Language Processing
(9)
Applications
(8)
Core AI
(8)
Machine Learning
(7)
Architectures
(6)
Core Methods
(4)
Learning Types
(3)
Application Areas
(2)
Techniques
(2)
Healthcare & Medicine
(1)
Speech & Audio
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
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
Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task
EMNLP 2023
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics
ACL 2023
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
EMNLP 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching
NeurIPS 2022
Predicting Attention Sparsity in Transformers
ACL 2022
Sparse Continuous Distributions and Fenchel-Young Losses
JMLR 2022
IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task
EMNLP 2021
Sparse and Continuous Attention Mechanisms
NeurIPS 2020
The Explanation Game: Towards Prediction Explainability through Sparse Communication
EMNLP 2020
OpenKiwi: An Open Source Framework for Quality Estimation
ACL 2019
Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
ACL 2019
Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks
EACL 2017