3 papers
cs.CL2026
Building a Strong Instruction Language Model for a Less-Resourced Language
Domen VreÅ¡, TjaÅ¡a ArÄon, Timotej PetriÄ +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…
cs.CL2025
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…
cs.CL2024
Generative Model for Less-Resourced Language with 1 billion parameters
Domen VreÅ¡, Martin BožiÄ, Aljaž PotoÄnik +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…