Andre Martins
61 papers · 2009–2026 · 10 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(33)
Machine Learning
(32)
Natural Language Processing
(32)
Core AI
(30)
Applications
(23)
Deep Learning
(19)
Resources & Methods
(12)
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(11)
Learning Types Β· Machine Learning
(11)
Optimization & Theory Β· Machine Learning
(11)
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(8)
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(7)
Architectures
(6)
Generation
(5)
Optimization & Theory Β· Deep Learning
(5)
Keywords
machine translation
(17)
large language model
(8)
neural machine translation
(7)
quality estimation
(6)
conformal prediction
(3)
uncertainty quantification
(3)
multilingual language model
(3)
quality-aware decoding
(3)
attention mechanism
(3)
text generation
(3)
in-context learning
(3)
translation quality
(3)
variational inference
(3)
sparse attention
(3)
zero-shot learning
(2)
neural network optimization
(2)
retrieval-augmented generation
(2)
hallucination detection
(2)
few-shot learning
(2)
code generation
(2)
Papers
TOWER+: Bridging Generality and Translation Specialization in Multilingual LLMs
ACL 2026
$β$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
ICML 2025
AdaSplash: Adaptive Sparse Flash Attention
ICML 2025
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
NAACL 2025
Did Translation Models Get More Robust Without Anyone Even Noticing?
ACL 2025
Different Speech Translation Models Encode and Translate Speaker Gender Differently
ACL 2025
Formalizing Test-Time Compute for Function-Level Code Generation
IJCNLP 2025
From Tower to Spire: Adding the Speech Modality to a Translation-Specialist LLM
EMNLP 2025
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
ACL 2025
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
ACL 2025
Sparse Activations as Conformal Predictors
AISTATS 2025
Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral
EMNLP 2025
Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation
ACL 2025
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
NAACL 2025
Analyzing Context Contributions in LLM-based Machine Translation
EMNLP 2024
Can Automatic Metrics Assess High-Quality Translations?
EMNLP 2024
Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE?
EMNLP 2024
How Effective Are State Space Models for Machine Translation?
EMNLP 2024
Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models
EMNLP 2024
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation
EMNLP 2024
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
EACL 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
EACL 2024
Non-Exchangeable Conformal Risk Control
ICLR 2024
Sparse and Structured Hopfield Networks
ICML 2024
Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task
EMNLP 2024
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors
EMNLP 2024
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
ACL 2023
Findings of the WMT 2023 Shared Task on Quality Estimation
EMNLP 2023
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
ACL 2023
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation
EACL 2023
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation
ACL 2023
Python Code Generation by Asking Clarification Questions
ACL 2023
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
EMNLP 2023
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics
ACL 2023
When Does Translation Require Context? A Data-driven, Multilingual Exploration
ACL 2023
Differentiable Causal Discovery Under Latent Interventions
CLeaR 2022
Efficient Machine Translation Domain Adaptation
ACL 2022
β-former: Infinite Memory Transformer
ACL 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching
NeurIPS 2022
Modeling Structure with Undirected Neural Networks
ICML 2022
Predicting Attention Sparsity in Transformers
ACL 2022
Quality-Aware Decoding for Neural Machine Translation
NAACL 2022
Sparse Communication via Mixed Distributions
ICLR 2022
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
NeurIPS 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
ICML 2020
Sparse and Continuous Attention Mechanisms
NeurIPS 2020
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
AISTATS 2019
Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
ACL 2019
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
ACL 2019
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
ACL 2019
Proceedings of the Third Workshop on Structured Prediction for NLP
NAACL 2019
SparseMAP: Differentiable Sparse Structured Inference
ICML 2018
Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
EACL 2017
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
ICML 2016
Orbit Regularization
NeurIPS 2014
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning
ACL 2013
Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers
ACL 2013
Dual Decomposition with Many Overlapping Components
EMNLP 2011
Structured Sparsity in Structured Prediction
EMNLP 2011
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
EMNLP 2010
Concise Integer Linear Programming Formulations for Dependency Parsing
ACL 2009