Julen Etxaniz
9 papers · 2023–2026 · 6 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 · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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The Questioner
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Top co-authors
Research topics
Natural Language Processing
(8)
Applications
(7)
Resources & Methods
(7)
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
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Learning Types · Machine Learning
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Deep Learning
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Models
(2)
Interdisciplinary
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Application Areas
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Generation
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Learning Paradigms
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Learning Types · Deep Learning
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Linguistics
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Keywords
low-resource language
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large language model
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machine translation
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multilingual model
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transfer learning
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benchmark evaluation
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multilingual language model
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multilingual nlp
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multilingual pretraining
(1)
language model evaluation
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knowledge transfer
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intent detection
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cross-lingual transfer
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instruction tuning
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language model adaptation
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natural language processing
(1)
evaluation benchmark
(1)
language model
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multi-task model
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language acquisition
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Papers
BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data
EACL 2026
HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation
COLING 2025
Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque
EMNLP 2025
Truth Knows No Language: Evaluating Truthfulness Beyond English
ACL 2025
BertaQA: How Much Do Language Models Know About Local Culture?
NeurIPS 2024
Do Multilingual Language Models Think Better in English?
NAACL 2024
Latxa: An Open Language Model and Evaluation Suite for Basque
ACL 2024
XNLIeu: a dataset for cross-lingual NLI in Basque
NAACL 2024
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
EMNLP 2023