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Michal Perelkiewicz
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2020 – today
- 2025
[j3]Michal Perelkiewicz
, Slawomir Dadas, Rafal Poswiata
:
SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation. IEEE Access 13: 119197-119214 (2025)
[j2]Slawomir Dadas, Marek Kozlowski, Rafal Poswiata, Michal Perelkiewicz, Marcin Bialas, Malgorzata Grebowiec:
A support system for the detection of abusive clauses in B2C contracts. Artif. Intell. Law 33(4): 913-951 (2025)
[j1]Slawomir Dadas, Marek Kozlowski, Rafal Poswiata, Michal Perelkiewicz, Marcin Bialas, Malgorzata Grebowiec:
Correction: A support system for the detection of abusive clauses in B2C contracts. Artif. Intell. Law 33(4): 953-954 (2025)
[c12]Slawomir Dadas, Malgorzata Grebowiec, Michal Perelkiewicz, Rafal Poswiata:
Evaluating Polish Linguistic and Cultural Competency in Large Language Models. ICAISC (1) 2025: 60-71
[i9]Slawomir Dadas, Malgorzata Grebowiec, Michal Perelkiewicz, Rafal Poswiata:
Evaluating Polish linguistic and cultural competency in large language models. CoRR abs/2503.00995 (2025)
[i8]Rafal Poswiata, Marcin Michal Mironczuk, Slawomir Dadas, Malgorzata Grebowiec, Michal Perelkiewicz:
Unveiling Dual Quality in Product Reviews: An NLP-Based Approach. CoRR abs/2505.19254 (2025)
[i7]Michal Perelkiewicz, Slawomir Dadas, Rafal Poswiata:
SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation. CoRR abs/2507.03415 (2025)
[i6]Jan Kocon, Maciej Piasecki, Arkadiusz Janz, Teddy Ferdinan, Lukasz Radlinski, Bartlomiej Koptyra, Marcin Oleksy, Stanislaw Wozniak, Pawel Walkowiak, Konrad Wojtasik, Julia Moska, Tomasz Naskret, Bartosz Walkowiak, Mateusz Gniewkowski, Kamil Szyc, Dawid Motyka, Dawid Banach, Jonatan Dalasinski, Ewa Rudnicka, Bartlomiej Alberski, Tomasz Walkowiak, Aleksander Szczesny, Maciej Markiewicz, Tomasz Bernas, Hubert Mazur, Kamil Zyta, Mateusz Tykierko, Grzegorz Chodak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Agnieszka Karlinska, Karolina Seweryn, Anna Kolos, Maciej Chrabaszcz, Katarzyna Lorenc, Aleksandra Krasnodebska, Artur Wilczek, Katarzyna Dziewulska, Paula Betscher, Zofia Cieslinska, Katarzyna Kowol, Daria Mikos, Maciej Trzcinski, Dawid Krutul, Marek Kozlowski, Slawomir Dadas, Rafal Poswiata, Michal Perelkiewicz, Malgorzata Grebowiec, Maciej Kazula, Marcin Bialas, Roman Roszko, Danuta Roszko, Jurgita Vaicenoniene, Andrius Utka, Pawel Levchuk, Pawel Kowalski, Irena Prawdzic-Jankowska, Maciej Ogrodniczuk, Monika Borys, Anna Bulinska, Wiktoria Gumienna, Witold Kieras, Dorota Komosinska, Katarzyna Krasnowska-Kieras, Lukasz Kobylinski, Martyna Lewandowska, Marek Lazinski, Mikolaj Latkowski, Dawid Mastalerz, Beata Milewicz, Agnieszka Anna Mykowiecka, Angelika Peljak-Lapinska, Sandra Penno, Zuzanna Przybysz, Michal Rudolf, Piotr Rybak, Karolina Saputa, Aleksandra Tomaszewska, Aleksander Wawer, Marcin Wolinski, Joanna Woloszyn, Alina Wróblewska, Bartosz Zuk, Filip Zarnecki, Konrad Kaczynski, Anna Cichosz, Zuzanna Deckert, Monika Garnys, Izabela Grabarczyk, Wojciech Janowski, Sylwia Karasinska, Aleksandra Kujawiak, Piotr Misztela, Maria Szymanska, Karolina Walkusz, Igor Siek, Jakub Kwiatkowski, Piotr Pezik:
PLLuM: A Family of Polish Large Language Models. CoRR abs/2511.03823 (2025)- 2024
[c11]Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata:
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods. LREC/COLING 2024: 12761-12774
[c10]Michal Perelkiewicz
, Rafal Poswiata
:
A Review of the Challenges with Massive Web-Mined Corpora Used in Large Language Models Pre-training. ICAISC (3) 2024: 153-163
[i5]Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata:
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods. CoRR abs/2402.13350 (2024)
[i4]Rafal Poswiata, Slawomir Dadas, Michal Perelkiewicz:
PL-MTEB: Polish Massive Text Embedding Benchmark. CoRR abs/2405.10138 (2024)
[i3]Michal Perelkiewicz, Rafal Poswiata:
A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models Pre-Training. CoRR abs/2407.07630 (2024)- 2023
[c9]Michal Perelkiewicz
, Rafal Poswiata
, Jakub Kierzkowski
:
Unsupervised Representation Learning: Target Regularization for Cross-Domain Sentiment Classification. ICAISC (1) 2023: 181-192- 2022
[c8]Rafal Poswiata, Michal Perelkiewicz:
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models. LT-EDI 2022: 276-282- 2020
[c7]Rafal Poswiata
, Michal Perelkiewicz
:
Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot. COLING (Demonstrations) 2020: 75-79
[c6]Slawomir Dadas
, Michal Perelkiewicz
, Rafal Poswiata
:
Pre-training Polish Transformer-Based Language Models at Scale. ICAISC (2) 2020: 301-314
[c5]Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata:
Evaluation of Sentence Representations in Polish. LREC 2020: 1674-1680
[i2]Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata:
Pre-training Polish Transformer-based Language Models at Scale. CoRR abs/2006.04229 (2020)
2010 – 2019
- 2019
[c4]Rafal Poswiata
, Michal Perelkiewicz
:
Numbers Normalisation in the Inflected Languages: a Case Study of Polish. BSNLP@ACL 2019: 23-28
[c3]Michal Perelkiewicz
, Rafal Poswiata
:
Text Language Identification Using Attention-Based Recurrent Neural Networks. ICAISC (1) 2019: 181-190
[c2]Michal Perelkiewicz
:
CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection. SemEval@NAACL-HLT 2019: 180-184
[i1]Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata:
Evaluation of Sentence Representations in Polish. CoRR abs/1910.11834 (2019)- 2017
[c1]Marcin Mironczuk
, Michal Perelkiewicz
, Jaroslaw Protasiewicz
:
Detection of the Innovative Logotypes on the Web Pages. ICAISC (2) 2017: 104-115
Coauthor Index

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last updated on 2025-11-29 00:12 CET by the dblp team
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