← Authors

Andre Martins

62 papers · 2009–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (77) 🐝 Cross-Pollinator (3) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16) 🏠 Conference Loyalist (20) πŸ”¬ Deep Specialist (18) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (23) πŸ† Keyword Champion 🧬 Topic Evolution πŸ”₯ Unstoppable (5) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (61) ❓ The Questioner (6) πŸ—ƒοΈ Keyword Collector (192)

Conferences

ACL (20) EMNLP (15) ICML (7) EACL (4) NAACL (4) NIPS (4) AISTATS (2) ICLR (2) IJCNLP (2) AACL (1) CLEAR (1)

Top co-authors

Vlad Niculae (9) Patrick Fernandes (9) AntΓ³nio Farinhas (9) Ricardo Rei (9) Nuno M. Guerreiro (7) Sweta Agrawal (7) Marcos Treviso (6) JosΓ© G. C. de Souza (5) Noah Smith (5) Matteo Negri (5)

Keywords

machine translation (16) large language model (8) neural machine translation (7) quality estimation (6) sparse attention (3) attention mechanism (3) code generation (3) minimum bayes risk (3) quality-aware decoding (3) text generation (3) translation quality (3) in-context learning (3) retrieval-augmented generation (2) zero-shot learning (2) variational inference (2) neural network optimization (2) hallucination detection (2) uncertainty quantification (2) few-shot learning (2) natural language inference (2)

Papers

From Tower to Spire: Adding the Speech Modality to a Translation-Specialist LLM EMNLP 2025
Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral EMNLP 2025
Formalizing Test-Time Compute for Function-Level Code Generation AACL 2025
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models NAACL 2025
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples NAACL 2025
Did Translation Models Get More Robust Without Anyone Even Noticing? ACL 2025
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation ACL 2025
Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation ACL 2025
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks ACL 2025
Different Speech Translation Models Encode and Translate Speaker Gender Differently ACL 2025
$∞$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation ICML 2025
Sparse Activations as Conformal Predictors AISTATS 2025
AdaSplash: Adaptive Sparse Flash Attention ICML 2025
Formalizing Test-Time Compute for Function-Level Code Generation IJCNLP 2025
Non-Exchangeable Conformal Risk Control ICLR 2024
Sparse and Structured Hopfield Networks ICML 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
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
Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task EMNLP 2024
Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? EMNLP 2024
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors EMNLP 2024
Analyzing Context Contributions in LLM-based Machine Translation EMNLP 2024
Can Automatic Metrics Assess High-Quality Translations? EMNLP 2024
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation EMNLP 2024
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation EACL 2023
When Does Translation Require Context? A Data-driven, Multilingual Exploration ACL 2023
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages ACL 2023
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation ACL 2023
Python Code Generation by Asking Clarification Questions ACL 2023
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
Findings of the WMT 2023 Shared Task on Quality Estimation EMNLP 2023
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation EMNLP 2023
Modeling Structure with Undirected Neural Networks ICML 2022
Differentiable Causal Discovery Under Latent Interventions CLEAR 2022
Quality-Aware Decoding for Neural Machine Translation NAACL 2022
Predicting Attention Sparsity in Transformers ACL 2022
Efficient Machine Translation Domain Adaptation ACL 2022
∞-former: Infinite Memory Transformer ACL 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching NIPS 2022
Sparse Communication via Mixed Distributions ICLR 2022
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NIPS 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction ICML 2020
Sparse and Continuous Attention Mechanisms NIPS 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 NIPS 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 IJCNLP 2009
Concise Integer Linear Programming Formulations for Dependency Parsing ACL 2009