Elamur Research⌕
☰
home / authors / Aitor Ormazabal

Aitor Ormazabal

Aitor Ormazabal has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Vision & language, Reasoning; often with Donovan Ong, Eugenie Lamprecht, Gorka Azkune.

2 papers in our library · 2024–2026

OpenAlex · h-index 5 · 15 works · 108 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 99 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9138

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of the Basque CountryLeioa · Spain2019–2026 · 12 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 worksReasoning · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models (2024 · 19 citations)
    Static multimodal benchmarks are quickly saturated by frontier models, and public arenas such as LMSys and WildVision make it hard to control prompt quality and difficulty.
  2. Multimodal LLMs Do Not Compose Skills Optimally across Modalities (2026)
    The paper asks whether multimodal LLMs can chain a visual ability with a textual one to solve tasks they were never directly trained on. The authors design three image-to-text tasks. Each can be solved with one visual step followed by one textual step:

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Analyzing the Limitations of Cross-lingual Word Embedding Mappings ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetAitor Ormazabal et al.2019 · 93 citations
  2. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations
  3. Principled Paraphrase Generation with Parallel Corpora ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAitor Ormazabal et al.2022 · 15 citations
  4. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 99 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/aitor-ormazabal/