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Juraj Vladika
Juraj Vladika
PhD Student of Computer Science, Technical University of Munich
Bestätigte E-Mail-Adresse bei tum.de
Titel
Zitiert von
Zitiert von
Jahr
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
P Schneider, T Schopf, J Vladika, M Galkin, E Simperl, F Matthes
AACL-IJCNLP 2022, 2022
712022
Scientific Fact-Checking: A Survey of Resources and Approaches
J Vladika, F Matthes
ACL 2023 (Findings), 2023
332023
Investigating Conversational Search Behavior For Domain Exploration
P Schneider, A Afzal, J Vladika, D Braun, F Matthes
ECIR 2023, 2023
142023
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports
J Vladika, F Matthes
SemEval 2023, 2023
132023
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking
J Vladika, P Schneider, F Matthes
LREC-COLING 2024 – The Joint International Conference on Computational …, 2024
9*2024
TakeLab at SemEval-2019 task 4: Hyperpartisan news detection
N Palić, J Vladika, D Čubelić, I Lovrenčić, M Buljan, J Šnajder
Proceedings of the 13th international workshop on semantic evaluation, 995-998, 2019
92019
The CLIN33 Shared Task on the Detection of Text Generated by Large Language Models
P Fivez, W Daelemans, T Van de Cruys, Y Kashnitsky, S Chamezopoulos, ...
Computational Linguistics in the Netherlands Journal 13, 233-259, 2024
52024
Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them
A Afzal, J Vladika, D Braun, F Matthes
ICAART 2023, 2023
52023
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification
J Vladika, F Matthes
EACL 2024, 2024
42024
TUM sebis at GermEval 2022: A hybrid model leveraging Gaussian processes and fine-tuned XLM-RoBERTa for German text complexity analysis
J Vladika, S Meisenbacher, F Matthes
Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of …, 2022
32022
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval
J Vladika, F Matthes
NAACL 2024 (Findings), 2024
22024
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
S Meisenbacher, M Chevli, J Vladika, F Matthes
ACL 2024, 2024
12024
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering
J Vladika, P Schneider, F Matthes
ACL 2024, 2024
12024
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
J Vladika, S Meisenbacher, M Preis, A Klymenko, F Matthes
AMCIS 2024, 2024
12024
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs
J Vladika, A Fichtl, F Matthes
ICAART 2024, 2023
12023
Adapter-based Approaches to Knowledge-enhanced Language Models--A Survey
A Fichtl, J Vladika, G Groh
arXiv preprint arXiv:2411.16403, 2024
2024
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data
A Afzal, J Vladika, G Fazlija, A Staradubets, F Matthes
arXiv preprint arXiv:2411.08438, 2024
2024
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
J Vladika, L Mülln, F Matthes
IC3K 2024, 2024
2024
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing
P Schneider, T Schopf, J Vladika, F Matthes
Informing Possible Future Worlds: Essays in Honour of Ulrich Frank, 2024
2024
Legal AI Use Case Radar 2024 Report
S Meisenbacher, N Machner, J Vladika, F Matthes
2024
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