Gleb Erofeev
3 papers · 2021–2023 · 2 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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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(3)
Natural Language Processing
(3)
Applications
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Application Areas
(2)
Core AI
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
machine translation
(3)
domain adaptation
(2)
pre-trained language model
(2)
neural machine translation
(1)
low-resource language
(1)
evaluation metric
(1)
human evaluation
(1)
multilingual model
(1)
clinical domain
(1)
machine translation evaluation
(1)
quality evaluation
(1)
multilingual language model
(1)
domain-specific translation
(1)
large language model
(1)
metric tuning
(1)
metric learning
(1)
metric customization
(1)
transfer learning
(1)
hyperparameter optimization
(1)
Papers
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning
ACL 2023
Examining Large Pre-Trained Language Models for Machine Translation: What You Don’t Know about It
EMNLP 2022
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE
EMNLP 2021