3 papers
cs.LG2026
Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning
Dario Vajda
Applying Large Language Models (LLMs) to graph-structured data usually involves multi-step pipelines in which textual node attributes are compressed into single tokens and further…
cs.CL2026
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…
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…