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researcher

Domen Vres

4 papers hereh-index 222 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedBetter sampling in explanation methods can prevent dieselgate-like deception

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

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…

cs.CL2024

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…

cs.LG2021★ 2 cited

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…

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