Juraj Vladika

According to our database, Juraj Vladika authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models.

Juraj Vladika, Mahdi Dhaini, Florian Matthes

CoRR, September, 2025

FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain.

Anum Afzal, Juraj Vladika, Florian Matthes

CoRR, September, 2025

MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature.

Juraj Vladika, Florian Matthes

CoRR, September, 2025

Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge.

Juraj Vladika, Ihsan Soydemir, Florian Matthes

CoRR, June, 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, Jan C. Peeken

CoRR, May, 2025

On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems.

Juraj Vladika, Florian Matthes

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning.

Juraj Vladika, Ivana Hacajová, Florian Matthes

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study.

Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui, Gjergji Kasneci

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes.

Juraj Vladika, Stephen Meisenbacher, Florian Matthes

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024

Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing.

Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes

CoRR, 2024

Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data.

Anum Afzal, Juraj Vladika, Gentrit Fazlija, Andrei Staradubets, Florian Matthes

Proceedings of the 2024 8th International Conference on Natural Language Processing and Information Retrieval, 2024

Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval.

Juraj Vladika, Florian Matthes

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs.

Juraj Vladika, Alexander Fichtl, Florian Matthes

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Enhancing Answer Attribution for Faithful Text Generation with Large Language Models.

Juraj Vladika, Luca Mülln, Florian Matthes

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

Adapter-Based Approaches to Knowledge-Enhanced Language Models: A Survey.

Alexander Fichtl, Juraj Vladika, Georg Groh

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

Comparing Knowledge Sources for Open-Domain Scientific Claim Verification.

Juraj Vladika, Florian Matthes

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking.

Juraj Vladika, Phillip Schneider, Florian Matthes

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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

Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024

MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering.

Juraj Vladika, Phillip Schneider, Florian Matthes

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models.

Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

HealthFC: A Dataset of Health Claims for Evidence-Based Medical Fact-Checking.

Juraj Vladika, Phillip Schneider, Florian Matthes

CoRR, 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

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them.

Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Investigating Conversational Search Behavior for Domain Exploration.

Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes

Proceedings of the Advances in Information Retrieval, 2023

Scientific Fact-Checking: A Survey of Resources and Approaches.

Juraj Vladika, Florian Matthes

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, 2022

A Decade of Knowledge Graphs in Natural Language Processing: A Survey.

Phillip Schneider, Tim Schopf, Juraj Vladika, Michael Galkin, Elena Simperl, Florian Matthes

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2019

TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection.

Niko Palic, Juraj Vladika, Dominik Cubelic, Ivan Lovrencic, Maja Buljan, Jan Snajder

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019