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Donovan Ong

Donovan Ong has 2 papers in our library, in 2024, most of them on Language models & pretraining, Vision & language; often with Eugenie Lamprecht, Hai Pham, Kaloyan Aleksiev.

2 papers in our library · 2024

OpenAlex · h-index 3 · 7 works · 54 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 68 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7528

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

🔬Institute for Infocomm ResearchSingapore · Singapore2022–2024 · 2 paperscurrent🔬Image and Pervasive Access LaboratorySingapore · Singapore2024 · 1 papercurrent🎓Nanyang Technological UniversitySingapore · Singapore2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 2Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 works

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models (2024 · 42 citations)
    The Reka Team presents three multimodal language models trained from scratch: Edge (7B, dense), Flash (21B, dense) and Core, the largest, whose training was still ongoing when the report was written.
  2. 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.

All works

3 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. Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language ModelsarXiv:2404.12387Reka Team: Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, et al.2024 · 42 citations
  2. Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYi Tay et al.2020 · 22 citations
  3. 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

 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 68 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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