Applying Transition Networks in Translating Polish E-Mails. - Krzysztof Jassem; Filip Gralinski; Tomasz Kowalski (IIS, 2003)

Some Methods of Describing Discontinuity in Polish and Their Cost-Effectiveness. - Filip Gralinski (TSD, 2006)

An Environment for Named Entity Recognition and Translation. - Filip Gralinski; Krzysztof Jassem; Michal Marcinczuk (EAMT, 2009)

Looking for new words out there. - Filip Gralinski; Marcin Walas (IMCSIT, 2009)

Acquiring Bilingual Lexica from Keyword Listings. - Filip Gralinski; Krzysztof Jassem; Roman Kurc (LTC, 2009)

Mining Parenthetical Translations for Polish-English Lexica. - Filip Gralinski (CICLing, 2010)

Matura Evaluation Experiment Based on Human Evaluation of Machine Translation. - Aleksandra Wojak; Filip Gralinski (IMCSIT, 2010)

Computational Lexicography of Multi-Word Units. How Efficient Can It Be? - Filip Gralinski; Agata Savary; Monika Czerepowicka; Filip Makowiecki (MWE@COLING, 2010)

Mining the Web for Idiomatic Expressions Using Metalinguistic Markers. - Filip Gralinski (TSD, 2012)

PSI-Toolkit: A Natural Language Processing Pipeline. - Filip Gralinski; Krzysztof Jassem; Marcin Junczys-Dowmunt (Computational Linguistics - Applications, 2013)

RetroC - A Corpus for Evaluating Temporal Classifiers. - Filip Gralinski; Piotr Wierzchon (LTC, 2015)

"He Said She Said" ― a Male/Female Corpus of Polish. - Filip Gralinski; Lukasz Borchmann; Piotr Wierzchon (LREC, 2016)

Vive la Petite Différence! - Exploiting Small Differences for Gender Attribution of Short Texts. - Filip Gralinski; Rafal Jaworski; Lukasz Borchmann; Piotr Wierzchon (TSD, 2016)

The RetroC challenge: how to guess the publication year of a text? - Filip Gralinski; Rafal Jaworski; Lukasz Borchmann; Piotr Wierzchon (DATeCH, 2017)

Automated Normalization and Analysis of Historical Texts. - Pawel Skórzewski; Krzysztof Jassem; Filip Gralinski (LCT, 2017)

GEval: Tool for Debugging NLP Datasets and Models. - Filip Gralinski; Anna Wróblewska; Tomasz Stanislawek; Kamil Grabowski; Tomasz Górecki (BlackboxNLP@ACL, 2019)

Searching for Legal Clauses by Analogy. Few-shot Semantic Retrieval Shared Task. - Lukasz Borchmann; Dawid Wisniewski; Andrzej Gretkowski; Izabela Kosmala; Dawid Jurkiewicz; Lukasz Szalkiewicz; Gabriela Palka; Karol Kaczmarek; Agnieszka Kaliska; Filip Gralinski (CoRR, 2019)

From Dataset Recycling to Multi-Property Extraction and Beyond. - Tomasz Dwojak; Michal Pietruszka; Lukasz Borchmann; Jakub Chledowski; Filip Gralinski (CoNLL, 2020)

Contract Discovery: Dataset and a Few-shot Semantic Retrieval Challenge with Competitive Baselines. - Lukasz Borchmann; Dawid Wisniewski; Andrzej Gretkowski; Izabela Kosmala; Dawid Jurkiewicz; Lukasz Szalkiewicz; Gabriela Palka; Karol Kaczmarek; Agnieszka Kaliska; Filip Gralinski (EMNLP (Findings), 2020)

ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them. - Dawid Jurkiewicz; Lukasz Borchmann; Izabela Kosmala; Filip Gralinski (SemEval@COLING, 2020)

LAMBERT: Layout-Aware language Modeling using BERT for information extraction. - Lukasz Garncarek; Rafal Powalski; Tomasz Stanislawek; Bartosz Topolski; Piotr Halama; Filip Gralinski (CoRR, 2020)

Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout. - Filip Gralinski; Tomasz Stanislawek; Anna Wróblewska; Dawid Lipinski; Agnieszka Kaliska; Paulina Rosalska; Bartosz Topolski; Przemyslaw Biecek (CoRR, 2020)

On the Multi-Property Extraction and Beyond. - Tomasz Dwojak; Michal Pietruszka; Lukasz Borchmann; Filip Gralinski; Jakub Chledowski (CoRR, 2020)

Sparsifying Transformer Models with Differentiable Representation Pooling. - Michal Pietruszka; Lukasz Borchmann; Filip Gralinski (CoRR, 2020)

Successive Halving Top-k Operator. - Michal Pietruszka; Lukasz Borchmann; Filip Gralinski (AAAI, 2021)

LAMBERT: Layout-Aware Language Modeling for Information Extraction. - Lukasz Garncarek; Rafal Powalski; Tomasz Stanislawek; Bartosz Topolski; Piotr Halama; Michal Turski; Filip Gralinski (ICDAR (1), 2021)

Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts. - Tomasz Stanislawek; Filip Gralinski; Anna Wróblewska; Dawid Lipinski; Agnieszka Kaliska; Paulina Rosalska; Bartosz Topolski; Przemyslaw Biecek (ICDAR (1), 2021)

DUE: End-to-End Document Understanding Benchmark. - Lukasz Borchmann; Michal Pietruszka; Tomasz Stanislawek; Dawid Jurkiewicz; Michal Turski; Karolina Szyndler; Filip Gralinski (NeurIPS Datasets and Benchmarks, 2021)

Dynamic Boundary Time Warping for sub-sequence matching with few examples. - Lukasz Borchmann; Dawid Jurkiewicz; Filip Gralinski; Tomasz Górecki (Expert Syst. Appl., 2021)

Using Transformer models for gender attribution in Polish. - Karol Kaczmarek; Jakub Pokrywka; Filip Gralinski (FedCSIS, 2022)

Temporal Language Modeling for Short Text Document Classification with Transformers. - Jakub Pokrywka; Filip Gralinski (FedCSIS, 2022)

Challenging America: Modeling language in longer time scales. - Jakub Pokrywka; Filip Gralinski; Krzysztof Jassem; Karol Kaczmarek; Krzysztof Jurkiewicz; Piotr Wierzchon (NAACL-HLT (Findings), 2022)

Modeling Spaced Repetition with LSTMs. - Jakub Pokrywka; Marcin Biedalak; Filip Gralinski; Krzysztof Biedalak (CSEDU (2), 2023)

Arxiv Tables: Document Understanding Challenge Linking Texts and Tables. - Karolina Konopka; Michal Turski; Filip Gralinski (ICDAR Workshops (2), 2023)

CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data. - Michal Turski; Tomasz Stanislawek; Karol Kaczmarek; Pawel Dyda; Filip Gralinski (ICDAR (3), 2023)

POLygraph: Polish Fake News Dataset. - Daniel Dzienisiewicz; Filip Gralinski; Piotr Jablonski; Marek Kubis; Pawel Skórzewski; Piotr Wierzchon (WASSA, 2024)

Two Approaches to Diachronic Normalization of Polish Texts. - Kacper Dudzic; Filip Gralinski; Krzysztof Jassem; Marek Kubis; Piotr Wierzchon (CoRR, 2024)

Tackling prediction tasks in relational databases with LLMs. - Marek Wydmuch; Lukasz Borchmann; Filip Gralinski (CoRR, 2024)

Oddballness: universal anomaly detection with language models. - Filip Gralinski; Ryszard Staruch; Krzysztof Jurkiewicz (COLING, 2025)

Inference Scaling for Bridging Retrieval and Augmented Generation. - Youngwon Lee 003; Seung-won Hwang; Daniel F. Campos; Filip Gralinski; Zhewei Yao; Yuxiong He (NAACL (Findings), 2025)

CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation. - Youngwon Lee 003; Seung-won Hwang; Daniel F. Campos; Filip Gralinski; Zhewei Yao; Yuxiong He (NAACL (Short Papers), 2025)

LLMzSzŁ: a comprehensive LLM benchmark for Polish. - Krzysztof Jassem; Michal Ciesiólka; Filip Gralinski; Piotr Jablonski; Jakub Pokrywka; Marek Kubis; Monika Jablonska; Ryszard Staruch (CoRR, 2025)

Adapting LLMs for Minimal-edit Grammatical Error Correction. - Ryszard Staruch; Filip Gralinski; Daniel Dzienisiewicz (CoRR, 2025)

Seamlessly Integrating Tree-Based Positional Embeddings into Transformer Models for Source Code Representation. - Patryk Bartkowiak; Filip Gralinski (CoRR, 2025)