--- title: "Martin Schrimpf — author profile and papers — Elamur Research" description: "Martin Schrimpf, École Polytechnique Fédérale de Lausanne: 2 papers on Elamur Research (2024–2025), h-index 17 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/martin-schrimpf/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/martin-schrimpf/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Martin Schrimpf # Martin Schrimpf Martin Schrimpf 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Badr AlKhamissi](https://md.research.elamur.ai/free/en/authors/badr-alkhamissi/), [Yingtian Tang](https://md.research.elamur.ai/free/en/authors/yingtian-tang/), [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5034283312) · [ORCID](https://orcid.org/0000-0001-7766-7223) · [Wikidata](https://www.wikidata.org/wiki/Q111698021) · [**h-index 17**](https://openalex.org/authors/A5034283312) · [64 works](https://openalex.org/works?filter=author.id:A5034283312) · [2,747 citations](https://openalex.org/works?filter=author.id:A5034283312&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/martin-schrimpf/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/martin-schrimpf/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10931](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10931) 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=Martin+Schrimpf) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Martin+Schrimpf) · [dblp](https://dblp.org/search?q=Martin+Schrimpf) · [ACL Anthology](https://aclanthology.org/search/?q=Martin+Schrimpf) ## Affiliations [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2023–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2017–2025 · 26 papersEducation 2017–2022 · PhD, Brain and Cognitive SciencesEmployment 2022–2023 · Research Scientist, Quest for Intelligence](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**McGovern Institute for Brain Research** Cambridge · United States 2019–2024 · 17 papers](https://md.research.elamur.ai/free/en/labs/mcgovern-institute-for-brain-research/) 🏛️**École Polytechnique Fédérale de Lausanne Bibliothèque** Lausanne · [Switzerland](https://md.research.elamur.ai/free/en/countries/switzerland/) 2023Employment since 2023 · Tenure-Track Assistant Professor, Schools of Life Science and Computer and Communication Sciences From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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 · 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [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 · 2 works](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** 1 paper](https://md.research.elamur.ai/free/en/authors/martin-schrimpf/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/martin-schrimpf/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Language to Cognition: How LLMs Outgrow the Human Language Network](https://md.research.elamur.ai/free/en/papers/alkhamissi-2025-language-cognition-how-llms-outgrow/)** *(2025 · 11 citations)* The paper examines why large language models resemble activity in the human language network (LN), and how this resemblance develops during pretraining. 2. **[Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/)** *(2024 · 1 citation)* Modern large language models are trained on trillions of tokens. A human, by contrast, hears at most about 100M words before adolescence. The authors worked within the BabyLM Challenge and investigated whether a multimodal model can be trained on such a limited budget. To this end, they assembled their own 100M-word… ## 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. **[A Flexible Approach to Automated RNN Architecture Generation ↗](https://arxiv.org/abs/1712.07316) arXiv (Cornell University) · no summary yet**Martin Schrimpf et al.*2017 · 12 citations* 2. **[From Language to Cognition: How LLMs Outgrow the Human Language Network](https://md.research.elamur.ai/free/en/papers/alkhamissi-2025-language-cognition-how-llms-outgrow/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Badr AlKhamissi, Greta Tuckute, Yingtian Tang, et al.*2025 · 11 citations* 3. **[Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al.*2024 · 1 citation* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Badr AlKhamissi](https://md.research.elamur.ai/free/en/authors/badr-alkhamissi/) ×2 - [Yingtian Tang](https://md.research.elamur.ai/free/en/authors/yingtian-tang/) ×2 - [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/): [CoNLL 2024](https://md.research.elamur.ai/free/en/venues/conll/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/martin-schrimpf/cited-by/). Updated 2 November 2026