--- title: "Kaloyan Aleksiev — author profile and papers in our library" description: "Kaloyan Aleksiev: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kaloyan-aleksiev/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kaloyan-aleksiev/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kaloyan Aleksiev # Kaloyan Aleksiev Kaloyan Aleksiev has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Donovan Ong](https://md.research.elamur.ai/free/en/authors/donovan-ong/), [Eugenie Lamprecht](https://md.research.elamur.ai/free/en/authors/eugenie-lamprecht/), [Hai Pham](https://md.research.elamur.ai/free/en/authors/hai-pham/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5095785598) · [**h-index 1**](https://openalex.org/authors/A5095785598) · [3 works](https://openalex.org/works?filter=author.id:A5095785598) · [3 citations](https://openalex.org/works?filter=author.id:A5095785598&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kaloyan-aleksiev/#papers) · [🔗 Cited 60 times in our library](https://md.research.elamur.ai/free/en/authors/kaloyan-aleksiev/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7534](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7534) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kaloyan+Aleksiev) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaloyan+Aleksiev) · [dblp](https://dblp.org/search?q=Kaloyan+Aleksiev) · [ACL Anthology](https://aclanthology.org/search/?q=Kaloyan+Aleksiev) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/kaloyan-aleksiev/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models](https://md.research.elamur.ai/free/en/papers/ormazabal-2024-reka-core-flash-edge-series/)** *(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](https://md.research.elamur.ai/free/en/papers/padlewski-2024-vibe-eval-hard-evaluation-suite/)** *(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 Models arXiv:2404.12387**Reka Team: Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, et al.*2024 · 42 citations*](https://md.research.elamur.ai/free/en/papers/ormazabal-2024-reka-core-flash-edge-series/) 2. [**Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models arXiv:2405.02287**Piotr Padlewski, Max Bain, Matthew Henderson, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/padlewski-2024-vibe-eval-hard-evaluation-suite/) 3. **[Training AI Scientists to Replicate Research ↗](https://arxiv.org/abs/2608.13331) arXiv:2608.13331 · no summary yet**Damon Falck et al.*2026 · 2 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Donovan Ong](https://md.research.elamur.ai/free/en/authors/donovan-ong/) ×2 - [Eugenie Lamprecht](https://md.research.elamur.ai/free/en/authors/eugenie-lamprecht/) ×2 - [Hai Pham](https://md.research.elamur.ai/free/en/authors/hai-pham/) ×2 - [Aitor Ormazabal](https://md.research.elamur.ai/free/en/authors/aitor-ormazabal/) - [Dani Yogatama](https://md.research.elamur.ai/free/en/authors/dani-yogatama/) - [Lei Li](https://md.research.elamur.ai/free/en/authors/lei-li/) - [Matthew Henderson](https://md.research.elamur.ai/free/en/authors/matthew-henderson/) - [Piotr Padlewski](https://md.research.elamur.ai/free/en/authors/piotr-padlewski/) ## 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 →](https://md.research.elamur.ai/free/en/authors/kaloyan-aleksiev/cited-by/). Updated 30 October 2026