Scholar
Mateusz Lango
Google Scholar ID: 29DYsyoAAAAJ
Charles University / Poznan University of Technology
natural language processing
machine learning
explainable AI
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Citations & Impact
All-time
Citations
808
H-index
11
i10-index
13
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
9 items
Reasoning Gets Harder for LLMs Inside A Dialogue
2026
Cited
0
LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators
2025
Cited
0
SRS-Stories: Vocabulary-constrained multilingual story generation for language learning
2025
Cited
0
OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
2025
Cited
0
Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems
International Conference on Natural Language Generation · 2025
Cited
0
Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish
International Conference on Language Resources and Evaluation · 2025
Cited
2
Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change
arXiv.org · 2024
Cited
0
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Conference on Empirical Methods in Natural Language Processing · 2024
Cited
0
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Resume (English only)
Co-authors
9 total
Jerzy Stefanowski
Poznan University of Technology
Ondřej Dušek
Institute of Formal and Applied Linguistics, Charles University, Prague, Czechia
Patrícia Schmidtová
Institute of Formal and Applied Linguistics, Charles University
Simone Balloccu
TU Darmstadt
Dariusz Brzezinski
Poznan University of Technology
Zdenek Zabokrtsky
Charles University in Prague
Ondřej Plátek
Ph.D. Candidate @ Institute of Formal and Applied Linguistics, Charles University, Prague, Czechia
Zdeněk Kasner
Institute of Formal and Applied Linguistics, Charles University, Prague, Czechia
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