| 2026 | ACL | Reasoning Gets Harder for LLMs Inside A Dialogue. | Ivan Kartc, Mateusz Lango, Ondrej Dusek |
| 2026 | ACL | One-step Nonautoregressive Natural Language Generation with Shortcut Flow Matching Models. | Jedrzej Warczynski, Ondrej Dusek, Mateusz Lango |
| 2025 | EMNLP | SRS-Stories: Vocabulary-constrained multilingual story generation for language learning. | Wiktor Kamzela, Mateusz Lango, Ondrej Dusek |
| 2025 | EMNLP | LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators. | Mateusz Lango, Ondrej Dusek |
| 2025 | INLG | OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs. | Ivan Kartc, Mateusz Lango, Ondrej Dusek |
| 2025 | INLG | Do My Eyes Deceive Me? A Survey of Human Evaluations of Hallucinations in NLG. | Patrcia Schmidtov, Eduardo Cal, Simone Balloccu, Dimitra Gkatzia, Rudali Huidrom, Mateusz Lango, Fahime Same, Vilm Zouhar, Saad Mahamood, Ondrej Dusek |
| 2025 | INLG | How (un)faithful are explainable LLM-based NLG metrics? | Alex Terentowicz, Mateusz Lango, Ondrej Dusek |
| 2025 | KDD | Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change. | Ignacy Stepka, Jerzy Stefanowski, Mateusz Lango |
| 2024 | COLING | Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish. | Marta Lango, Borys Naglik, Mateusz Lango, Iwo Naglik |
| 2024 | EACL | Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. | Simone Balloccu, Patrcia Schmidtov, Mateusz Lango, Ondrej Dusek |
| 2024 | EMNLP | ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extraction. | Iwo Naglik, Mateusz Lango |
| 2024 | EMNLP | Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach. | Adam Wojciechowski, Mateusz Lango, Ondrej Dusek |
| 2024 | INLG | Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems. | Jedrzej Warczynski, Mateusz Lango, Ondrej Dusek |
| 2023 | ECAI | The Problem of Coherence in Natural Language Explanations of Recommendations. | Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski |
| 2023 | EMNLP | Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. | Mateusz Lango, Ondrej Dusek |
| 2023 | INLG | Generating clickbait spoilers with an ensemble of large language models. | Mateusz Wozny, Mateusz Lango |
| 2023 | PAKDD | Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction. | Iwo Naglik, Mateusz Lango |
| 2020 | LREC | A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping. | Kamil Plucinski, Mateusz Lango, Michal Zimniewicz |
| 2018 | LREC | Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish). | Mateusz Lango, Magda Sevckov, Zdenek Zabokrtsk |
| 2017 | DIS | Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data. | Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski |
| 2017 | ISMIS | Evaluating Difficulty of Multi-class Imbalanced Data. | Mateusz Lango, Krystyna Napierala, Jerzy Stefanowski |
| 2016 | ICAISC | Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles. | Jerzy Blaszczynski, Mateusz Lango |