--- title: "Joshua Lochner — author profile and papers — Elamur Research" description: "Joshua Lochner: 2 papers on Elamur Research (2025) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/joshua-lochner/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/joshua-lochner/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Joshua Lochner # Joshua Lochner Joshua Lochner has 2 papers in our library, in 2025, 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 [Andrés Marafioti](https://md.research.elamur.ai/free/en/authors/andres-marafioti/), [Anton Lozhkov](https://md.research.elamur.ai/free/en/authors/anton-lozhkov/), [Elie Bakouch](https://md.research.elamur.ai/free/en/authors/elie-bakouch/). 2 papers in our library · 2025 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/joshua-lochner/#papers) · [🔗 Cited 217 times in our library](https://md.research.elamur.ai/free/en/authors/joshua-lochner/cited-by/) · [⭐ Paper Stars ranking: #6331](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6331) 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=Joshua+Lochner) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joshua+Lochner) · [dblp](https://dblp.org/search?q=Joshua+Lochner) · [ACL Anthology](https://aclanthology.org/search/?q=Joshua+Lochner) ## 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).[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/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/joshua-lochner/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language Model](https://md.research.elamur.ai/free/en/papers/allal-2025-smollm2-smol-goes-big-data/)** *(2025 · 181 citations)* Small language models are cheap to run and fit on devices like phones. Because they have limited capacity, though, the quality and balance of their training data matter even more than for large models. In SmolLM2, the Hugging Face team treats data design as the main lever for performance. They built a 1.7B-parameter… 2. **[SmolVLM: Redefining small and efficient multimodal models](https://md.research.elamur.ai/free/en/papers/marafioti-2025-smolvlm-redefining-small-efficient-multimodal/)** *(2025 · 56 citations)* Most compact vision-language models are shrunken copies of large ones. They inherit memory-hungry choices, such as producing many visual tokens per image, which makes them impractical on phones and edge hardware. The SmolVLM authors at Hugging Face and Stanford redesigned a small VLM from scratch. They paired SmolLM2… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Andrés Marafioti](https://md.research.elamur.ai/free/en/authors/andres-marafioti/) ×2 - [Anton Lozhkov](https://md.research.elamur.ai/free/en/authors/anton-lozhkov/) ×2 - [Elie Bakouch](https://md.research.elamur.ai/free/en/authors/elie-bakouch/) ×2 - [Loubna Ben Allal](https://md.research.elamur.ai/free/en/authors/loubna-ben-allal/) ×2 - [Vaibhav Srivastav](https://md.research.elamur.ai/free/en/authors/vaibhav-srivastav/) ×2 - [Cyril Zakka](https://md.research.elamur.ai/free/en/authors/cyril-zakka/) - [Guilherme Penedo](https://md.research.elamur.ai/free/en/authors/guilherme-penedo/) - [Hynek Kydlíček](https://md.research.elamur.ai/free/en/authors/hynek-kydlicek/) - [Lewis Tunstall](https://md.research.elamur.ai/free/en/authors/lewis-tunstall/) - [Nouamane Tazi](https://md.research.elamur.ai/free/en/authors/nouamane-tazi/) ## Cited by Papers of our library cite their works 217 times (of the 149,439 papers whose bibliographies we read); [51 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joshua-lochner/cited-by/). Updated 3 November 2026