David Vilar
16 papers · 2007–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (31)
🔬
Deep Specialist
(12)
💎
Century Club · Bronze
❓
The Questioner
🗃️
Keyword Collector
(73)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Natural Language Processing
(13)
Machine Learning
(12)
Applications
(12)
Optimization & Theory
(8)
Learning Types · Machine Learning
(7)
Deep Learning
(5)
Application Areas
(3)
Models
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Resources & Methods
(2)
Core AI
(1)
Keywords
machine translation
(7)
neural machine translation
(5)
quality estimation
(4)
text generation
(2)
minimum bayes risk
(2)
domain adaptation
(2)
large language model
(2)
in-context learning
(1)
data augmentation
(1)
transfer learning
(1)
efficient computing
(1)
model interpretability
(1)
multilingual text
(1)
low-rank approximation
(1)
natural language
(1)
hessian approximation
(1)
matrix completion
(1)
maximum a posteriori
(1)
constraint satisfaction
(1)
prompt engineering
(1)
Papers
Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
EMNLP 2025
Google Translate’s Research Submission to WMT2025
EMNLP 2025
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
NeurIPS 2024
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data
EMNLP 2024
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
ACL 2024
Prompting PaLM for Translation: Assessing Strategies and Performance
ACL 2023
There’s No Data like Better Data: Using QE Metrics for MT Data Filtering
EMNLP 2023
A Natural Diet: Towards Improving Naturalness of Machine Translation Output
ACL 2022
Scaling Up Influence Functions
AAAI 2022
A Statistical Extension of Byte-Pair Encoding
ACL 2021
Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
EMNLP 2021
Controlling Machine Translation for Multiple Attributes with Additive Interventions
EMNLP 2021
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
NAACL 2018
Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models
NAACL 2018
Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models
EACL 2014
Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems
NAACL 2007