Mateusz Klimaszewski
13 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐ Cross-Pollinator (12) ๐ Conference Polyglot (5) ๐ Academic Marathon (6) ๐บ๏ธ Taxonomy Completionist (33)
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Cross-Pollinator
(12)
๐ฅ
Mega-Team
(35)
๐๏ธ
Keyword Collector
(52)
โก
Prolific Year
(6)
๐
Century Club
(12)
โ
The Questioner
Conferences
EMNLP (5)
ACL (3)
COLING (3)
IJCNLP (1)
SEMEVAL (1)
Top co-authors
Keywords
machine translation
(3)
dependency parsing
(3)
knowledge distillation
(3)
transfer learning
(2)
natural language inference
(2)
domain adaptation
(2)
large language model
(2)
graph parsing
(2)
neural network
(2)
enhanced universal dependencies
(2)
modular deep learning
(2)
named entity recognition
(1)
text classification
(1)
syntactic parsing
(1)
neural machine translation
(1)
cross-lingual transfer
(1)
natural language processing
(1)
data augmentation
(1)
part-of-speech tagging
(1)
ensemble learning
(1)
Papers
Is a Document Educational or Just Wikipedia-Style? โ Pitfalls of Classifier-Based Quality Filtering
ACL 2026
An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)
ACL 2025
No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
COLING 2025
AveniBench: Accessible and Versatile Evaluation of Finance Intelligence
COLING 2025
EuroGEST: Investigating gender stereotypes in multilingual language models
EMNLP 2025
Multilingual Data Filtering using Synthetic Data from Large Language Models
EMNLP 2025
EdinHelsOW WMT 2025 CreoleMT System Description: Improving Lusophone Creole Translation through Data Augmentation, Model Merging and LLM Post-editing
EMNLP 2025
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation
COLING 2024
Samsung R&D Institute Poland Participation in WMT 2022
EMNLP 2022
COMBO: A New Module for EUD Parsing
ACL 2021
COMBO: A New Module for EUD Parsing
IJCNLP 2021
COMBO: State-of-the-Art Morphosyntactic Analysis
EMNLP 2021
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining
SEMEVAL 2019