--- title: "Marianna Nezhurina · Open Society — author profile and papers" description: "Marianna Nezhurina, Open Society: 2 papers on Elamur Research (2024–2025), h-index 6 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/marianna-nezhurina/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/marianna-nezhurina/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Marianna Nezhurina # Marianna Nezhurina Marianna Nezhurina has 2 papers in our library, in 2024–2025, 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/); often with [Georgios Smyrnis](https://md.research.elamur.ai/free/en/authors/georgios-smyrnis/), [Jean Mercat](https://md.research.elamur.ai/free/en/authors/jean-mercat/), [Sedrick Keh](https://md.research.elamur.ai/free/en/authors/sedrick-keh/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5042252873) · [**h-index 6**](https://openalex.org/authors/A5042252873) · [24 works](https://openalex.org/works?filter=author.id:A5042252873) · [1,071 citations](https://openalex.org/works?filter=author.id:A5042252873&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/#papers) · [🔗 Cited 1,684 times in our library](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6844](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6844) 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=Marianna+Nezhurina) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Marianna+Nezhurina) · [dblp](https://dblp.org/search?q=Marianna+Nezhurina) · [ACL Anthology](https://aclanthology.org/search/?q=Marianna+Nezhurina) ## Affiliations [🤝**Open Society** Prague · Czechia 2026 · 1 paper*current*](https://ror.org/01gp9yw74) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenThoughts: Data Recipes for Reasoning Models](https://md.research.elamur.ai/free/en/papers/guha-2025-openthoughts-data-recipes-reasoning-models/)** *(2025 · 122 citations)* The strongest reasoning models are usually distilled from training data that is not public, so researchers know little about which data choices actually matter. 2. **[Language models scale reliably with over-training and on downstream tasks](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/)** *(2024 · 46 citations)* Scaling laws let teams forecast large language model behaviour from cheap small runs. Most published laws, however, assume Chinchilla-style compute-optimal training and predict only next-token loss. In practice, smaller models are often over-trained on far more tokens to cut inference cost, and they are compared on… ## 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. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations* 2. [**OpenThoughts: Data Recipes for Reasoning Models arXiv:2506.04178**Etash Guha, Ryan Marten, Sedrick Keh, et al.*2025 · 122 citations*](https://md.research.elamur.ai/free/en/papers/guha-2025-openthoughts-data-recipes-reasoning-models/) 3. **[Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models ↗](https://arxiv.org/abs/2406.02061) arXiv:2406.02061 · no summary yet**Marianna Nezhurina et al.*2024 · 48 citations* 4. [**Language models scale reliably with over-training and on downstream tasks arXiv:2403.08540**Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/) ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Georgios Smyrnis](https://md.research.elamur.ai/free/en/authors/georgios-smyrnis/) ×2 - [Jean Mercat](https://md.research.elamur.ai/free/en/authors/jean-mercat/) ×2 - [Sedrick Keh](https://md.research.elamur.ai/free/en/authors/sedrick-keh/) ×2 - [Alex Fang](https://md.research.elamur.ai/free/en/authors/alex-fang/) - [Ashima Suvarna](https://md.research.elamur.ai/free/en/authors/ashima-suvarna/) - [Etash Guha](https://md.research.elamur.ai/free/en/authors/etash-guha/) - [Hritik Bansal](https://md.research.elamur.ai/free/en/authors/hritik-bansal/) - [Jeffrey Li](https://md.research.elamur.ai/free/en/authors/jeffrey-li/) - [Mitchell Wortsman](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/) - [Rui Xin](https://md.research.elamur.ai/free/en/authors/rui-xin/) - [Rulin Shao](https://md.research.elamur.ai/free/en/authors/rulin-shao/) - [Ryan Marten](https://md.research.elamur.ai/free/en/authors/ryan-marten/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ## Cited by Papers of our library cite their works 1,684 times (of the 149,439 papers whose bibliographies we read); [409 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/cited-by/). Updated 2 November 2026