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Jorma Laaksonen

Jorma Laaksonen has 2 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks, Semitic languages, Reasoning; often with Omkar Thawakar, Rao Muhammad Anwer, Salman Khan.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 36 · 334 works · 6,791 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 55 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8756

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

🎓Aalto UniversityEspoo · Finland2005–2026 · 133 papersEmployment since 2017 · Senior University Lecturer, Computer Sciencecurrent🤝VTT Technical Research Centre of FinlandEspoo · Finland2022–2024 · 2 papers🎓University of HelsinkiHelsinki · Finland2005–2015 · 2 papers
🏛️Aalto University School of EngineeringEspoo · Finland1994–1997Education 1994–1997
🏛️Helsinki University of TechnologyEspoo · Finland1994–1997Education 1994–1997 · D.Sc.(Tech.), Laboratory of Computer and Information Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 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 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksSemitic languages · 2 worksReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. CAMEL-Bench: A Comprehensive Arabic LMM Benchmark (2025 · 22 citations)
    Most benchmarks for large multimodal models (LMMs) are built around English. This leaves Arabic, with more than 400 million speakers, without a broad way to test models. CAMEL-Bench fills that gap. It is an Arabic evaluation suite covering eight domains and 38 sub-domains:
  2. ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark (2026 · 3 citations)
    Benchmarks that check how multimodal models reason step by step, and not only whether the final answer is right, exist almost entirely in English.

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. The 2005 PASCAL Visual Object Classes Challenge ↗Lecture notes in computer science · no summary yetMark Everingham et al.2006 · 743 citations
  2. The MeMAD Submission to the WMT18 Multimodal Translation Task ↗Proceedings of the Third Conference on Machine Translation: Shared Task Papers · no summary yetStig-Arne Grönroos et al.2018 · 93 citations
  3. CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkFindings of the Association for Computational LinguisticsSara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.2025 · 22 citations
  4. ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkLanguage Resources and Evaluation Conference (LREC)Sara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations

 Co-authors here

8 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 55 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

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