--- title: "Maksym Zhuravinskyi — author profile and papers in our library" description: "Maksym Zhuravinskyi: 4 papers on Elamur Research (2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/maksym-zhuravinskyi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maksym-zhuravinskyi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Maksym Zhuravinskyi # Maksym Zhuravinskyi Maksym Zhuravinskyi has 4 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Duy Phung](https://md.research.elamur.ai/free/en/authors/duy-phung/), [Jonathan Tow](https://md.research.elamur.ai/free/en/authors/jonathan-tow/), [Marco Bellagente](https://md.research.elamur.ai/free/en/authors/marco-bellagente/). 4 papers in our library · 2024 [OpenAlex](https://openalex.org/A5093457309) · [**h-index 3**](https://openalex.org/authors/A5093457309) · [12 works](https://openalex.org/works?filter=author.id:A5093457309) · [31 citations](https://openalex.org/works?filter=author.id:A5093457309&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/maksym-zhuravinskyi/#papers) · [🔗 Cited 152 times in our library](https://md.research.elamur.ai/free/en/authors/maksym-zhuravinskyi/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6731](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6731) 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=Maksym+Zhuravinskyi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Maksym+Zhuravinskyi) · [dblp](https://dblp.org/search?q=Maksym+Zhuravinskyi) · [ACL Anthology](https://aclanthology.org/search/?q=Maksym+Zhuravinskyi) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Works by year ### 2020s [**2024** 4 papers](https://md.research.elamur.ai/free/en/authors/maksym-zhuravinskyi/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Stable LM 2 1.6B Technical Report](https://md.research.elamur.ai/free/en/papers/bellagente-2024-stable-lm-2-1-6b/)** *(2024 · 46 citations)* Many strong language models are released without their training data or full recipe, which makes independent replication nearly impossible. 2. **[GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements](https://md.research.elamur.ai/free/en/papers/havrilla-2024-glore-where-improve-llm-reasoning/)** *(2024 · 45 citations)* LLMs often fail to self-correct their reasoning without outside help. They cannot reliably tell whether a solution needs fixing or which step went wrong. This work splits refinement into three decisions: when, where, and how. It addresses them without human labels or stronger models, using only the ground-truth… 3. **[Stable Code Technical Report](https://md.research.elamur.ai/free/en/papers/pinnaparaju-2024-stable-code-technical-report/)** *(2024 · 9 citations)* Code assistants such as autocomplete tools are called constantly, so a model compact enough to run locally on consumer hardware avoids network delays and dependence on gated APIs. 4. **[Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-arabic-stable-lm-adapting-stable/)** *(2024 · 6 citations)* Most Arabic-focused LLMs have at least 7B parameters, which makes them costly to run and slow at inference. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Teaching Large Language Models to Reason with Reinforcement Learning ↗](https://arxiv.org/abs/2403.04642) arXiv:2403.04642 · no summary yet**Alex Havrilla et al.*2024 · 61 citations* 2. [**Stable LM 2 1.6B Technical Report arXiv:2402.17834**Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/bellagente-2024-stable-lm-2-1-6b/) 3. [**GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements arXiv:2402.10963**Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/havrilla-2024-glore-where-improve-llm-reasoning/) 4. [**Stable Code Technical Report arXiv:2404.01226**Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/pinnaparaju-2024-stable-code-technical-report/) 5. [**Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic arXiv:2412.04277**Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-arabic-stable-lm-adapting-stable/) ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Duy Phung](https://md.research.elamur.ai/free/en/authors/duy-phung/) ×3 - [Jonathan Tow](https://md.research.elamur.ai/free/en/authors/jonathan-tow/) ×3 - [Marco Bellagente](https://md.research.elamur.ai/free/en/authors/marco-bellagente/) ×3 - [Reshinth Adithyan](https://md.research.elamur.ai/free/en/authors/reshinth-adithyan/) ×3 - [Ashish Datta](https://md.research.elamur.ai/free/en/authors/ashish-datta/) ×2 - [Carlos Riquelme](https://md.research.elamur.ai/free/en/authors/carlos-riquelme/) ×2 - [Dakota Mahan](https://md.research.elamur.ai/free/en/authors/dakota-mahan/) ×2 - [James Baicoianu](https://md.research.elamur.ai/free/en/authors/james-baicoianu/) ×2 - [Nathan Cooper](https://md.research.elamur.ai/free/en/authors/nathan-cooper/) ×2 - [Nikhil Pinnaparaju](https://md.research.elamur.ai/free/en/authors/nikhil-pinnaparaju/) ×2 - [Eric Hambro](https://md.research.elamur.ai/free/en/authors/eric-hambro/) - [Hannah Teufel](https://md.research.elamur.ai/free/en/authors/hannah-teufel/) ## Cited by Papers of our library cite their works 152 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/maksym-zhuravinskyi/cited-by/). Updated 30 October 2026