Mateusz Lango

According to our database, Mateusz Lango authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data.

Iwo Naglik, Mateusz Lango

Mach. Learn., July, 2024

Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change.

Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski

CoRR, 2024

A Survey of Text Style Transfer: Applications and Ethical Implications.

Sourabrata Mukherjee, Mateusz Lango, Zdenek Kasner, Ondrej Dusek

CoRR, 2024

A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers.

Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski

Int. J. Appl. Math. Comput. Sci., 2024

Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems.

Jedrzej Warczynski, Mateusz Lango, Ondrej Dusek

Proceedings of the 17th International Natural Language Generation Conference, 2024

Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach.

Adam Wojciechowski, Mateusz Lango, Ondrej Dusek

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extraction.

Iwo Naglik, Mateusz Lango

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs.

Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish.

Marta Lango, Borys Naglik, Mateusz Lango, Iwo Naglik

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector.

Ondrej Plátek, Mateusz Lango, Ondrej Dusek

CoRR, 2023

Three Ways of Using Large Language Models to Evaluate Chat.

Ondrej Plátek, Vojtech Hudecek, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek

CoRR, 2023

Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait.

Mateusz Wozny, Mateusz Lango

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction.

Iwo Naglik, Mateusz Lango

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance.

Damian Horna, Mateusz Lango, Jerzy Stefanowski

Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2023

Generating clickbait spoilers with an ensemble of large language models.

Mateusz Wozny, Mateusz Lango

Proceedings of the 16th International Natural Language Generation Conference, 2023

Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation.

Mateusz Lango, Ondrej Dusek

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Problem of Coherence in Natural Language Explanations of Recommendations.

Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

What makes multi-class imbalanced problems difficult? An experimental study.

Mateusz Lango, Jerzy Stefanowski

Expert Syst. Appl., 2022

Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks.

Adam Wojciechowski, Mateusz Lango

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

2021

Semi-automatic construction of word-formation networks.

Mateusz Lango, Zdenek Zabokrtský, Magda Sevcíková

Lang. Resour. Evaluation, 2021

Prototypical Convolutional Neural Network for a Phrase-Based Explanation of Sentiment Classification.

Kamil Plucinski, Mateusz Lango, Jerzy Stefanowski

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Time Aspect in Making an Actionable Prediction of a Conversation Breakdown.

Piotr Janiszewski, Mateusz Lango, Jerzy Stefanowski

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification.

Jacek Grycza, Damian Horna, Hanna Klimczak, Mateusz Lango, Kamil Plucinski, Jerzy Stefanowski

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping.

Kamil Plucinski, Mateusz Lango, Michal Zimniewicz

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm.

Malgorzata Janicka, Mateusz Lango, Jerzy Stefanowski

Int. J. Appl. Math. Comput. Sci., 2019

2018

Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data.

Mateusz Lango, Jerzy Stefanowski

J. Intell. Inf. Syst., 2018

ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information.

Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish).

Mateusz Lango, Magda Sevcíková, Zdenek Zabokrtský

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017

Evaluating Difficulty of Multi-class Imbalanced Data.

Mateusz Lango, Krystyna Napierala, Jerzy Stefanowski

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data.

Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski

Proceedings of the Discovery Science - 20th International Conference, 2017

2016

PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis.

Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles.

Jerzy Blaszczynski, Mateusz Lango

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data.

Mateusz Lango, Jerzy Stefanowski

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015