2 citations · 2 across the 3 of their papers we have counts for
4 papers
Building a Strong Instruction Language Model for a Less-Resourced Language
Domen Vreš, Tjaša Arčon, Timotej Petrič +3
Large language models (LLMs) have become an essential tool for natural language processing and artificial intelligence in general. Current open-source models are primarily trained…
Improving LLMs for Machine Translation Using Synthetic Preference Data
Dario Vajda, Domen Vreš, Marko Robnik-Šikonja
Large language models have emerged as effective machine translation systems. In this paper, we explore how a general instruction-tuned large language model can be improved for mach…
Generative Model for Less-Resourced Language with 1 billion parameters
Domen Vreš, Martin Božič, Aljaž Potočnik +2
Large language models (LLMs) are a basic infrastructure for modern natural language processing. Many commercial and open-source LLMs exist for English, e.g., ChatGPT, Llama, Falcon…
Better sampling in explanation methods can prevent dieselgate-like deception
Domen Vreš, Marko Robnik Šikonja
Machine learning models are used in many sensitive areas where besides predictive accuracy their comprehensibility is also important. Interpretability of prediction models is neces…