Mateusz Lango - RankMe

51 papers A* 1A 1B 5C 1Journal 25Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reasoning Gets Harder for LLMs Inside A Dialogue. CoRR Ivan Kartác, Mateusz Lango, Ondrej Dusek
2025	J	`jnl`	Boosting Dual Quality detection with AI-based social media analysis. Inf. Process. Manag. Maksim Brzezinski, Maciej Niemir, Krzysztof Muszynski, Mateusz Lango, Dawid Wisniewski
2025	—	`conf`	Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change. KDD (1) Ignacy Stepka, Jerzy Stefanowski, Mateusz Lango
2025	—	`conf`	LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators. EMNLP (Industry Track) Mateusz Lango, Ondrej Dusek
2025	J	`jnl`	LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators. CoRR Mateusz Lango, Ondrej Dusek
2025	J	`jnl`	Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems. CoRR Jedrzej Warczynski, Mateusz Lango, Ondrej Dusek
2025	J	`jnl`	OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs. CoRR Ivan Kartác, Mateusz Lango, Ondrej Dusek
2025	J	`jnl`	Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish. CoRR Marta Lango, Borys Naglik, Mateusz Lango, Iwo Naglik
2025	—	`conf`	SRS-Stories: Vocabulary-constrained multilingual story generation for language learning. EMNLP (Industry Track) Wiktor Kamzela, Mateusz Lango, Ondrej Dusek
2025	J	`jnl`	SRS-Stories: Vocabulary-constrained multilingual story generation for language learning. CoRR Wiktor Kamzela, Mateusz Lango, Ondrej Dusek
2024	J	`jnl`	A Survey of Text Style Transfer: Applications and Ethical Implications. CoRR Sourabrata Mukherjee, Mateusz Lango, Zdenek Kasner, Ondrej Dusek
2024	J	`jnl`	A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers. Int. J. Appl. Math. Comput. Sci. Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski
2024	J	`jnl`	ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extraction. CoRR Iwo Naglik, Mateusz Lango
2024	—	`conf`	ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extraction. EMNLP (Findings) Iwo Naglik, Mateusz Lango
2024	J	`jnl`	Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change. CoRR Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski
2024	—	`conf`	Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach. EMNLP (Findings) Adam Wojciechowski, Mateusz Lango, Ondrej Dusek
2024	J	`jnl`	Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach. CoRR Adam Wojciechowski, Mateusz Lango, Ondrej Dusek
2024	J	`jnl`	GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data. Mach. Learn. Iwo Naglik, Mateusz Lango
2024	J	`jnl`	Generating clickbait spoilers with an ensemble of large language models. CoRR Mateusz Wozny, Mateusz Lango
2024	—	`conf`	Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. EACL (1) Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek
2024	J	`jnl`	Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. CoRR Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek
2024	B	`conf`	Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems. INLG Jedrzej Warczynski, Mateusz Lango, Ondrej Dusek
2024	J	`jnl`	Multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers. CoRR Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski
2024	—	`conf`	Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish. LREC/COLING Marta Lango, Borys Naglik, Mateusz Lango, Iwo Naglik
2023	—	`conf`	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. SemEval@ACL Mateusz Wozny, Mateusz Lango
2023	A*	`conf`	Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. EMNLP Mateusz Lango, Ondrej Dusek
2023	J	`jnl`	Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. CoRR Mateusz Lango, Ondrej Dusek
2023	—	`conf`	Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance. LIDTA Damian Horna, Mateusz Lango, Jerzy Stefanowski
2023	J	`jnl`	Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance. CoRR Damian Horna, Mateusz Lango, Jerzy Stefanowski
2023	—	`conf`	Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction. PAKDD (4) Iwo Naglik, Mateusz Lango
2023	B	`conf`	Generating clickbait spoilers with an ensemble of large language models. INLG Mateusz Wozny, Mateusz Lango
2023	A	`conf`	The Problem of Coherence in Natural Language Explanations of Recommendations. ECAI Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski
2023	J	`jnl`	The Problem of Coherence in Natural Language Explanations of Recommendations. CoRR Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski
2023	J	`jnl`	Three Ways of Using Large Language Models to Evaluate Chat. CoRR Ondrej Plátek, Vojtech Hudecek, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek
2023	J	`jnl`	With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector. CoRR Ondrej Plátek, Mateusz Lango, Ondrej Dusek
2022	—	`conf`	Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks. LIDTA Adam Wojciechowski, Mateusz Lango
2022	J	`jnl`	What makes multi-class imbalanced problems difficult? An experimental study. Expert Syst. Appl. Mateusz Lango, Jerzy Stefanowski
2021	—	`conf`	Prototypical Convolutional Neural Network for a Phrase-Based Explanation of Sentiment Classification. PKDD/ECML Workshops (1) Kamil Plucinski, Mateusz Lango, Jerzy Stefanowski
2021	J	`jnl`	Semi-automatic construction of word-formation networks. Lang. Resour. Evaluation Mateusz Lango, Zdenek Zabokrtský, Magda Sevcíková
2021	—	`conf`	Time Aspect in Making an Actionable Prediction of a Conversation Breakdown. ECML/PKDD (5) Piotr Janiszewski, Mateusz Lango, Jerzy Stefanowski
2020	B	`conf`	A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping. LREC Kamil Plucinski, Mateusz Lango, Michal Zimniewicz
2020	—	`conf`	multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification. ECML/PKDD (5) Jacek Grycza, Damian Horna, Hanna Klimczak, Mateusz Lango, Kamil Plucinski, Jerzy Stefanowski
2019	J	`jnl`	Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm. Int. J. Appl. Math. Comput. Sci. Malgorzata Janicka, Mateusz Lango, Jerzy Stefanowski
2018	—	`conf`	ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information. LIDTA@ECML/PKDD Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
2018	J	`jnl`	Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data. J. Intell. Inf. Syst. Mateusz Lango, Jerzy Stefanowski
2018	B	`conf`	Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish). LREC Mateusz Lango, Magda Sevcíková, Zdenek Zabokrtský
2017	B	`conf`	Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data. DS Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski
2017	C	`conf`	Evaluating Difficulty of Multi-class Imbalanced Data. ISMIS Mateusz Lango, Krystyna Napierala, Jerzy Stefanowski
2016	—	`conf`	Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles. ICAISC (1) Jerzy Blaszczynski, Mateusz Lango
2016	—	`conf`	PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis. SemEval@NAACL-HLT Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
2015	—	`conf`	The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data. NFMCP Mateusz Lango, Jerzy Stefanowski