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Juraj Vladika
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2020 – today
- 2025
- [c20]Juraj Vladika, Stephen Meisenbacher
, Florian Matthes:
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes. ICAART (3) 2025: 1481-1488 - [c19]Juraj Vladika, Ivana Hacajová, Florian Matthes:
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning. NAACL (Volume 2: Short Papers) 2025: 805-816 - [c18]Juraj Vladika, Florian Matthes:
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems. NAACL (Findings) 2025: 6724-6736 - [i19]Juraj Vladika, Stephen Meisenbacher
, Florian Matthes:
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes. CoRR abs/2502.04173 (2025) - [i18]Juraj Vladika, Florian Matthes:
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems. CoRR abs/2502.14759 (2025) - [i17]Juraj Vladika, Ivana Hacajová, Florian Matthes:
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning. CoRR abs/2502.14765 (2025) - 2024
- [c17]Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. ACL (Findings) 2024: 9314-9328 - [c16]Juraj Vladika, Phillip Schneider, Florian Matthes:
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering. ACL (Findings) 2024: 14459-14469 - [c15]Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. AMCIS 2024 - [c14]Juraj Vladika
, Phillip Schneider, Florian Matthes:
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking. LREC/COLING 2024: 8095-8107 - [c13]Juraj Vladika
, Florian Matthes:
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification. EACL (1) 2024: 2103-2114 - [c12]Alexander Fichtl, Juraj Vladika, Georg Groh:
Adapter-Based Approaches to Knowledge-Enhanced Language Models: A Survey. KEOD 2024: 95-107 - [c11]Juraj Vladika, Luca Mülln, Florian Matthes:
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models. KDIR 2024: 147-158 - [c10]Juraj Vladika
, Alexander Fichtl
, Florian Matthes
:
Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs. ICAART (2) 2024: 376-387 - [c9]Juraj Vladika, Florian Matthes:
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval. NAACL-HLT (Findings) 2024: 4752-4763 - [c8]Anum Afzal
, Juraj Vladika
, Gentrit Fazlija
, Andrei Staradubets
, Florian Matthes
:
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data. NLPIR 2024: 250-257 - [i16]Juraj Vladika, Florian Matthes
:
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification. CoRR abs/2402.02844 (2024) - [i15]Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes
:
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing. CoRR abs/2404.01443 (2024) - [i14]Juraj Vladika, Florian Matthes
:
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval. CoRR abs/2404.08359 (2024) - [i13]Juraj Vladika
, Stephen Meisenbacher
, Martina Preis, Alexandra Klymenko
, Florian Matthes
:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. CoRR abs/2404.18759 (2024) - [i12]Juraj Vladika
, Phillip Schneider, Florian Matthes
:
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering. CoRR abs/2406.05845 (2024) - [i11]Stephen Meisenbacher
, Maulik Chevli, Juraj Vladika, Florian Matthes
:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. CoRR abs/2407.00637 (2024) - [i10]Juraj Vladika, Luca Mülln, Florian Matthes:
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models. CoRR abs/2410.17112 (2024) - [i9]Anum Afzal, Juraj Vladika, Gentrit Fazlija, Andrei Staradubets, Florian Matthes:
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data. CoRR abs/2411.08438 (2024) - [i8]Alexander Fichtl
, Juraj Vladika, Georg Groh:
Adapter-based Approaches to Knowledge-enhanced Language Models - A Survey. CoRR abs/2411.16403 (2024) - 2023
- [c7]Juraj Vladika
, Florian Matthes:
Scientific Fact-Checking: A Survey of Resources and Approaches. ACL (Findings) 2023: 6215-6230 - [c6]Phillip Schneider
, Anum Afzal
, Juraj Vladika
, Daniel Braun
, Florian Matthes
:
Investigating Conversational Search Behavior for Domain Exploration. ECIR (2) 2023: 608-616 - [c5]Anum Afzal, Juraj Vladika
, Daniel Braun
, Florian Matthes
:
Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them. ICAART (3) 2023: 682-689 - [c4]Juraj Vladika
, Florian Matthes:
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports. SemEval@ACL 2023: 1863-1870 - [i7]Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
:
Investigating Conversational Search Behavior For Domain Exploration. CoRR abs/2301.04098 (2023) - [i6]Juraj Vladika, Florian Matthes
:
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports. CoRR abs/2304.13180 (2023) - [i5]Juraj Vladika, Florian Matthes:
Scientific Fact-Checking: A Survey of Resources and Approaches. CoRR abs/2305.16859 (2023) - [i4]Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them. CoRR abs/2307.00963 (2023) - [i3]Juraj Vladika, Phillip Schneider, Florian Matthes
:
HealthFC: A Dataset of Health Claims for Evidence-Based Medical Fact-Checking. CoRR abs/2309.08503 (2023) - [i2]Juraj Vladika, Alexander Fichtl
, Florian Matthes
:
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs. CoRR abs/2312.13881 (2023) - 2022
- [c3]Phillip Schneider, Tim Schopf
, Juraj Vladika
, Michael Galkin, Elena Simperl, Florian Matthes:
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. AACL/IJCNLP (1) 2022: 601-614 - [c2]Juraj Vladika
, Stephen Meisenbacher, Florian Matthes:
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. GermEval@KONVENS 2022: 51-56 - [i1]Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl
, Florian Matthes
:
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. CoRR abs/2210.00105 (2022)
2010 – 2019
- 2019
- [c1]Niko Palic, Juraj Vladika
, Dominik Cubelic, Ivan Lovrencic, Maja Buljan, Jan Snajder:
TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection. SemEval@NAACL-HLT 2019: 995-998
Coauthor Index
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