Martin Fajcik

29 papers Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
BenCzechMark : A Czech-Centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism.
Trans. Assoc. Comput. Linguistics
Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner, Jan Hula, Hynek Kydlícek
2025 J jnl
Examining the Metrics for Document-Level Claim Extraction in Czech and Slovak.
CoRR
Lucia Makaiova, Martin Fajcik, Antonin Jarolim
2025 J jnl
On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator?
CoRR
Jan Kvapil, Martin Fajcik
2024 — conf
A Comparative Study of Text Retrieval Models on DaReCzech.
RASLAN
Jakub Stetina, Martin Fajcik, Michal Stefánik, Michal Hradis
2024 J jnl
A Comparative Study of Text Retrieval Models on DaReCzech.
CoRR
Jakub Stetina, Martin Fajcik, Michal Stefánik, Michal Hradis
2024 — —
Automatické odpovídání na faktické otázky a ověřování faktů v přirozeném jazyce ; Automated Factoid Question Answering and Fact-Checking in Natural Language.
Martin Fajcik
2024 J jnl
BenCzechMark : A Czech-centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism.
CoRR
Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner, Jan Hula, Hynek Kydlícek
2024 J jnl
OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources.
CoRR
Martin Docekal, Martin Fajcik, Pavel Smrz
2023 — conf
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction.
ACL (Findings)
Martin Fajcik, Petr Motlícek, Pavel Smrz
2022 J jnl
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction.
CoRR
Martin Fajcik, Petr Motlícek, Pavel Smrz
2022 — conf
IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach.
CASE@EMNLP
Sergio Burdisso, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz, Petr Motlícek
2022 J jnl
IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach.
CoRR
Sergio Burdisso, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz, Petr Motlícek
2022 — conf
IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model.
CASE@EMNLP
Martin Fajcik, Muskaan Singh, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlícek, Pavel Smrz
2022 J jnl
IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model.
CoRR
Martin Fajcik, Muskaan Singh, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlícek, Pavel Smrz
2021 J jnl
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
CoRR
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021 J jnl
Pruning the Index Contents for Memory Efficient Open-Domain QA.
CoRR
Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz
2021 — conf
R2-D2: A Modular Baseline for Open-Domain Question Answering.
EMNLP (Findings)
Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz
2021 J jnl
R2-D2: A Modular Baseline for Open-Domain Question Answering.
CoRR
Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz
2020 — conf
BUT-FIT at SemEval-2020 Task 4: Multilingual Commonsense.
SemEval@COLING
Josef Jon, Martin Fajcik, Martin Docekal, Pavel Smrz
2020 — conf
BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models.
SemEval@COLING
Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz
2020 J jnl
BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models.
CoRR
Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz
2020 — conf
JokeMeter at SemEval-2020 Task 7: Convolutional Humor.
SemEval@COLING
Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz
2020 J jnl
JokeMeter at SemEval-2020 Task 7: Convolutional humor.
CoRR
Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz
2020 — conf
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
NeurIPS (Competition and Demos)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020 J jnl
Rethinking the objectives of extractive question answering.
CoRR
Martin Fajcik, Josef Jon, Santosh Kesiraju, Pavel Smrz
2019 — conf
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers.
SemEval@NAACL-HLT
Martin Fajcik, Pavel Smrz, Lukás Burget
2019 J jnl
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers.
CoRR
Martin Fajcik, Lukás Burget, Pavel Smrz
2018 J jnl
Automation of Processor Verification Using Recurrent Neural Networks.
CoRR
Martin Fajcik, Marcela Zachariásová, Pavel Smrz
2017 — conf
Automation of Processor Verification Using Recurrent Neural Networks.
MTV
Martin Fajcik, Pavel Smrz, Marcela Zachariásová