4 papers
CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset
JindÅich Libovický, JindÅich Helcl, Andrei Manea +1
We introduce CUS-QA, a benchmark for evaluation of open-ended regional question answering that encompasses both textual and visual modalities. We also provide strong baselines usin…
Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization
Jan Bronec, JindÅich Helcl
We present a submission to the SemEval 2025 shared task on unlearning sensitive content from LLMs. Our approach employs negative preference optimization using low-rank adaptation.…
Teaching LLMs at Charles University: Assignments and Activities
JindÅich Helcl, ZdenÄk Kasner, OndÅej DuÅ¡ek +4
This paper presents teaching materials, particularly assignments and ideas for classroom activities, from a new course on large language models (LLMs) taught at Charles University.…
Charles Translator: A Machine Translation System between Ukrainian and Czech
Martin Popel, Lucie Poláková, Michal Novák +7
We present Charles Translator, a machine translation system between Ukrainian and Czech, developed as part of a society-wide effort to mitigate the impact of the Russian-Ukrainian…