3 papers
cs.CL2025
skLEP: A Slovak General Language Understanding Benchmark
Marek Šuppa, Andrej Ridzik, Daniel Hládek +5
In this work, we introduce skLEP, the first comprehensive benchmark specifically designed for evaluating Slovak natural language understanding (NLU) models. We have compiled skLEP…
cs.CL2025
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
Qiwei Peng, Robert Moro, Michal Gregor +7
The rapid spread of online disinformation presents a global challenge, and machine learning has been widely explored as a potential solution. However, multilingual settings and low…
cs.CL2024
Beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking
Ivana Beňová, Jana Košecká, Michal Gregor +3
The dominant probing approaches rely on the zero-shot performance of image-text matching tasks to gain a finer-grained understanding of the representations learned by recent multim…