TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection. - Niko Palic; Juraj Vladika; Dominik Cubelic; Ivan Lovrencic; Maja Buljan; Jan Snajder (SemEval@NAACL-HLT, 2019)

A Decade of Knowledge Graphs in Natural Language Processing: A Survey. - Phillip Schneider; Tim Schopf; Juraj Vladika; Michael Galkin; Elena Simperl; Florian Matthes (AACL/IJCNLP (1), 2022)

TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. - Juraj Vladika; Stephen Meisenbacher; Florian Matthes (GermEval@KONVENS, 2022)

Scientific Fact-Checking: A Survey of Resources and Approaches. - Juraj Vladika; Florian Matthes (ACL (Findings), 2023)

Investigating Conversational Search Behavior for Domain Exploration. - Phillip Schneider; Anum Afzal; Juraj Vladika; Daniel Braun 003; Florian Matthes (ECIR (2), 2023)

Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them. - Anum Afzal; Juraj Vladika; Daniel Braun 003; Florian Matthes (ICAART (3), 2023)

Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports. - Juraj Vladika; Florian Matthes (SemEval@ACL, 2023)

HealthFC: A Dataset of Health Claims for Evidence-Based Medical Fact-Checking. - Juraj Vladika; Phillip Schneider; Florian Matthes (CoRR, 2023)

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. - Stephen Meisenbacher; Maulik Chevli; Juraj Vladika; Florian Matthes (ACL (Findings), 2024)

MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering. - Juraj Vladika; Phillip Schneider; Florian Matthes (ACL (Findings), 2024)

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. - Juraj Vladika; Stephen Meisenbacher; Martina Preis; Alexandra Klymenko; Florian Matthes (AMCIS, 2024)

HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking. - Juraj Vladika; Phillip Schneider; Florian Matthes (LREC/COLING, 2024)

Comparing Knowledge Sources for Open-Domain Scientific Claim Verification. - Juraj Vladika; Florian Matthes (EACL (1), 2024)

Adapter-Based Approaches to Knowledge-Enhanced Language Models: A Survey. - Alexander Fichtl; Juraj Vladika; Georg Groh (KEOD, 2024)

Enhancing Answer Attribution for Faithful Text Generation with Large Language Models. - Juraj Vladika; Luca Mülln; Florian Matthes (KDIR, 2024)

Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs. - Juraj Vladika; Alexander Fichtl; Florian Matthes (ICAART (2), 2024)

Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval. - Juraj Vladika; Florian Matthes (NAACL-HLT (Findings), 2024)

Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data. - Anum Afzal; Juraj Vladika; Gentrit Fazlija; Andrei Staradubets; Florian Matthes (NLPIR, 2024)

Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing. - Phillip Schneider; Tim Schopf; Juraj Vladika; Florian Matthes (CoRR, 2024)

Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes. - Juraj Vladika; Stephen Meisenbacher; Florian Matthes (ICAART (3), 2025)

Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning. - Juraj Vladika; Ivana Hacajová; Florian Matthes (NAACL (Short Papers), 2025)

On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems. - Juraj Vladika; Florian Matthes (NAACL (Findings), 2025)

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs. - Juraj Vladika; Annika Domres; Mai Nguyen; Rebecca Moser; Jana Nano; Felix Busch; Lisa C. Adams; Keno K. Bressem; Denise Bernhardt; Stephanie E. Combs; Kai J. Borm; Florian Matthes; et al. (CoRR, 2025)

Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge. - Juraj Vladika; Ihsan Soydemir; Florian Matthes (CoRR, 2025)

Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study. - Mahdi Dhaini; Juraj Vladika; Ege Erdogan; Zineb Attaoui; Gjergji Kasneci (CoRR, 2025)