Tobias Domhan
12 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26)
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Topic Evolution
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Century Club · Bronze
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Research topics
Machine Learning
(9)
Natural Language Processing
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Applications
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Learning Types · Machine Learning
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Deep Learning
(4)
Artificial Intelligence
(3)
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Core AI
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Optimization & Theory
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Generation
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Learning Types · Deep Learning
(1)
Keywords
machine translation
(5)
neural machine translation
(4)
translation quality
(2)
large language model
(2)
prompt engineering
(1)
low-resource language
(1)
catastrophic forgetting
(1)
evaluation metric
(1)
web corpus
(1)
sequence tagging
(1)
quality estimation
(1)
human judgment
(1)
parallel corpus
(1)
convolutional neural network
(1)
quality score prediction
(1)
recurrent neural network
(1)
reward model
(1)
supervised fine-tuning
(1)
language modeling
(1)
multi-task learning
(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
MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task
EMNLP 2025
Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models
EMNLP 2025
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
ACL 2024
Findings of the WMT 2023 Shared Task on Parallel Data Curation
EMNLP 2023
Trained MT Metrics Learn to Cope with Machine-translated References
EMNLP 2023
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
NAACL 2022
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation
EMNLP 2021
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures
ACL 2018
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
EMNLP 2017
Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves
IJCAI 2015