3 papers
cs.LG2026
Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning
Dario Vajda
Using Large Language Models (LLMs) to process graph-structured data is an active research area, yet current state-of-the-art approaches typically rely on multi-step pipelines with…
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…