6 papers · 1 filter
UFAL-CUNI at SemEval-2026 Task 11: An Efficient Modular Neuro-symbolic Method for Syllogistic Reasoning
Ivan Kartáč, Kristýna Onderková, Jan Bronec +3
This paper describes our system submitted to SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language Models. We present an efficient modular neuro-symbol…
Reasoning Gets Harder for LLMs Inside A Dialogue
Ivan Kartáč, Mateusz Lango, Ondřej Dušek
Large Language Models (LLMs) achieve strong performance on many reasoning benchmarks, yet these evaluations typically focus on isolated tasks that differ from real-world usage in t…
LLMs as Span Annotators: A Comparative Study of LLMs and Humans
Zdeněk Kasner, Vilém Zouhar, Patrícia Schmidtová +7
Span annotation - annotating specific text features at the span level - can be used to evaluate texts where single-score metrics fail to provide actionable feedback. Until recently…
OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
Ivan Kartáč, Mateusz Lango, Ondřej Dušek
Large Language Models (LLMs) have demonstrated great potential as evaluators of NLG systems, allowing for high-quality, reference-free, and multi-aspect assessments. However, exist…
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices
Patrícia Schmidtová, Saad Mahamood, Simone Balloccu +6
Automatic metrics are extensively used to evaluate natural language processing systems. However, there has been increasing focus on how they are used and reported by practitioners…
factgenie: A Framework for Span-based Evaluation of Generated Texts
Zdeněk Kasner, Ondřej Plátek, Patrícia Schmidtová +2
We present factgenie: a framework for annotating and visualizing word spans in textual model outputs. Annotations can capture various span-based phenomena such as semantic inaccura…