Juraj Vladika

49 papers A 1C 1Journal 25Unranked 22
YearRankTypeTitle / Venue / Authors
2025 — conf
Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study.
ICANN (3)
Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui, Gjergji Kasneci
2025 J jnl
Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study.
CoRR
Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui, Gjergji Kasneci
2025 J jnl
Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge.
CoRR
Juraj Vladika, Ihsan Soydemir, Florian Matthes
2025 — conf
FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain.
ICNLSP
Anum Afzal, Juraj Vladika, Florian Matthes
2025 J jnl
FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain.
CoRR
Anum Afzal, Juraj Vladika, Florian Matthes
2025 — conf
Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models.
EMNLP (Findings)
Juraj Vladika, Mahdi Dhaini, Florian Matthes
2025 J jnl
Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models.
CoRR
Juraj Vladika, Mahdi Dhaini, Florian Matthes
2025 J jnl
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs.
CoRR
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
2025 — conf
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes.
ICAART (3)
Juraj Vladika, Stephen Meisenbacher, Florian Matthes
2025 J jnl
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes.
CoRR
Juraj Vladika, Stephen Meisenbacher, Florian Matthes
2025 A conf
MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature.
CIKM
Juraj Vladika, Florian Matthes
2025 J jnl
MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature.
CoRR
Juraj Vladika, Florian Matthes
2025 — conf
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems.
NAACL (Findings)
Juraj Vladika, Florian Matthes
2025 J jnl
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems.
CoRR
Juraj Vladika, Florian Matthes
2025 — conf
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning.
NAACL (Short Papers)
Juraj Vladika, Ivana Hacajová, Florian Matthes
2025 J jnl
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning.
CoRR
Juraj Vladika, Ivana Hacajová, Florian Matthes
2024 C conf
Adapter-Based Approaches to Knowledge-Enhanced Language Models: A Survey.
KEOD
Alexander Fichtl, Juraj Vladika, Georg Groh
2024 J jnl
Adapter-based Approaches to Knowledge-enhanced Language Models - A Survey.
CoRR
Alexander Fichtl, Juraj Vladika, Georg Groh
2024 — conf
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification.
EACL (1)
Juraj Vladika, Florian Matthes
2024 J jnl
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification.
CoRR
Juraj Vladika, Florian Matthes
2024 — conf
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models.
ACL (Findings)
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
2024 J jnl
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models.
CoRR
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
2024 — conf
Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs.
ICAART (2)
Juraj Vladika, Alexander Fichtl, Florian Matthes
2024 — conf
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models.
KDIR
Juraj Vladika, Luca Mülln, Florian Matthes
2024 J jnl
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models.
CoRR
Juraj Vladika, Luca Mülln, Florian Matthes
2024 J jnl
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing.
CoRR
Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes
2024 — conf
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking.
LREC/COLING
Juraj Vladika, Phillip Schneider, Florian Matthes
2024 — conf
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval.
NAACL-HLT (Findings)
Juraj Vladika, Florian Matthes
2024 J jnl
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval.
CoRR
Juraj Vladika, Florian Matthes
2024 — conf
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering.
ACL (Findings)
Juraj Vladika, Phillip Schneider, Florian Matthes
2024 J jnl
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering.
CoRR
Juraj Vladika, Phillip Schneider, Florian Matthes
2024 — conf
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective.
AMCIS
Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes
2024 J jnl
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective.
CoRR
Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes
2024 — conf
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data.
NLPIR
Anum Afzal, Juraj Vladika, Gentrit Fazlija, Andrei Staradubets, Florian Matthes
2024 J jnl
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data.
CoRR
Anum Afzal, Juraj Vladika, Gentrit Fazlija, Andrei Staradubets, Florian Matthes
2023 — conf
Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them.
ICAART (3)
Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
2023 J jnl
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them.
CoRR
Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
2023 J jnl
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs.
CoRR
Juraj Vladika, Alexander Fichtl, Florian Matthes
2023 J jnl
HealthFC: A Dataset of Health Claims for Evidence-Based Medical Fact-Checking.
CoRR
Juraj Vladika, Phillip Schneider, Florian Matthes
2023 J jnl
Investigating Conversational Search Behavior For Domain Exploration.
CoRR
Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
2023 — conf
Investigating Conversational Search Behavior for Domain Exploration.
ECIR (2)
Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
2023 — conf
Scientific Fact-Checking: A Survey of Resources and Approaches.
ACL (Findings)
Juraj Vladika, Florian Matthes
2023 J jnl
Scientific Fact-Checking: A Survey of Resources and Approaches.
CoRR
Juraj Vladika, Florian Matthes
2023 — conf
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports.
SemEval@ACL
Juraj Vladika, Florian Matthes
2023 J jnl
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports.
CoRR
Juraj Vladika, Florian Matthes
2022 — conf
A Decade of Knowledge Graphs in Natural Language Processing: A Survey.
AACL/IJCNLP (1)
Phillip Schneider, Tim Schopf, Juraj Vladika, Michael Galkin, Elena Simperl, Florian Matthes
2022 J jnl
A Decade of Knowledge Graphs in Natural Language Processing: A Survey.
CoRR
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes
2022 — conf
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis.
GermEval@KONVENS
Juraj Vladika, Stephen Meisenbacher, Florian Matthes
2019 — conf
TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection.
SemEval@NAACL-HLT
Niko Palic, Juraj Vladika, Dominik Cubelic, Ivan Lovrencic, Maja Buljan, Jan Snajder