Elamur Research⌕
☰
home / authors / Kaloyan Aleksiev

Kaloyan Aleksiev

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

2 papers in our library · 2024

OpenAlex · h-index 1 · 3 works · 3 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 60 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7534

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

 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. 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. Training AI Scientists to Replicate Research ↗arXiv:2608.13331 · no summary yetDamon Falck et al.2026 · 2 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 60 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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