Papers by Tomáš Javůrek

2 papers
Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection (2026.eacl-long)

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Challenge: Recent advances in multilingual Large Language Models have enabled powerful capabilities for cross-lingual fact-checking.
Approach: They evaluate six open-source multilingual LLMs across 20 languages using a fully multilingual prompting strategy.
Outcome: The proposed model performs better on high-resource languages than on low-resourced ones.
skLEP: A Slovak General Language Understanding Benchmark (2025.findings-acl)

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Challenge: skLEP is the first comprehensive benchmark specifically designed for evaluating Slovak natural language understanding models.
Approach: They introduce a benchmark specifically designed for evaluating Slovak natural language understanding models.
Outcome: The proposed benchmark covers nine tasks that span token-level, sentence-pair, document-level tasks.

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