--- title: "Yohei Oseki — author profile and papers" description: "Yohei Oseki, National Institute of Informatics: 5 papers on Elamur Research (2023–2026), h-index 11 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yohei-oseki/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yohei-oseki/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yohei Oseki # Yohei Oseki Yohei Oseki has 5 papers in our library, in 2023–2026, most of them on [Psycholinguistics & language acquisition](https://md.research.elamur.ai/free/en/topics/psycholinguistics/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ryo Yoshida](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/), [Taiga Someya](https://md.research.elamur.ai/free/en/authors/taiga-someya/), [Masato Mita](https://md.research.elamur.ai/free/en/authors/masato-mita/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5025796706) · [ORCID](https://orcid.org/0000-0002-1189-1588) · [**h-index 11**](https://openalex.org/authors/A5025796706) · [135 works](https://openalex.org/works?filter=author.id:A5025796706) · [482 citations](https://openalex.org/works?filter=author.id:A5025796706&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yohei-oseki/#papers) · [🔗 36 citations in our library](https://md.research.elamur.ai/free/en/authors/yohei-oseki/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #4547](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4547) 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=Yohei+Oseki) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yohei+Oseki) · [dblp](https://dblp.org/search?q=Yohei+Oseki) · [ACL Anthology](https://aclanthology.org/search/?q=Yohei+Oseki) ## Affiliations [🎓**The University of Tokyo** Tokyo · Japan 2021–2026 · 77 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🔬**National Institute for Japanese Language and Linguistics** Tokyo · Japan 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/national-institute-for-japanese-language-and-linguistics/) · [🔬**National Institute of Informatics** Tokyo · Japan 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/national-institute-of-informatics/) · [🎓**Waseda University** Tokyo · Japan 2019–2021 · 6 papers](https://md.research.elamur.ai/free/en/universities/waseda-university/) · [🔬**RIKEN** Wako · Japan 2021–2025 · 5 papers](https://md.research.elamur.ai/free/en/labs/riken/) · [🎓**New York University** New York · United States 2018–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🔬**Artificial Intelligence Research Center** Tokyo · Japan 2021–2023 · 2 papers](https://ror.org/009x1ke56) · [🔬**National Institute of Advanced Industrial Science and Technology** Tsukuba · Japan 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/labs/national-institute-of-advanced-industrial-science-and-technology/) 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. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 💡 Concepts 4[Child-directed speech · 2 works](https://md.research.elamur.ai/free/en/concepts/child-directed-speech/) · [Context-free grammar · 1 work](https://md.research.elamur.ai/free/en/concepts/context-free-grammar/) · [Psycholinguistics · 1 work](https://md.research.elamur.ai/free/en/concepts/psycholinguistics/) · [Zipf's law · 1 work](https://md.research.elamur.ai/free/en/concepts/zipfs-law/) 📚 Shelves 2[Linguistics & languages · 2 works](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [Natural language processing · 3 works](https://md.research.elamur.ai/free/en/shelves/nlp/) 🧭 Topics 3[Psycholinguistics & language acquisition · 3 works](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yohei-oseki/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/papers/mita-2025-developmentally-plausible-working-memory-shapes/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/someya-2024-targeted-syntactic-evaluation-chomsky-hierarchy/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/oba-2023-babylm-challenge-curriculum-learning-based/) ## Papers The most cited first (OpenAlex and our library). 1. **[Targeted Syntactic Evaluation on the Chomsky Hierarchy](https://md.research.elamur.ai/free/en/papers/someya-2024-targeted-syntactic-evaluation-chomsky-hierarchy/)** *(2024 · 10 citations)* The authors propose a new approach to Targeted Syntactic Evaluation. Rather than testing individual grammatical phenomena, they examine how language models handle constructions of varying complexity according to the Chomsky hierarchy. To this end, four artificial formal languages are constructed, each modeling a… 2. **[Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition](https://md.research.elamur.ai/free/en/papers/mita-2025-developmentally-plausible-working-memory-shapes/)** *(2025 · 9 citations)* LLMs need far more training data than children to reach comparable linguistic competence. Drawing on the Critical Period Hypothesis and Newport's Less-is-More Hypothesis, the authors test whether mimicking how children's working memory grows can make LM training more data-efficient. They model working-memory growth… 3. **[BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition](https://md.research.elamur.ai/free/en/papers/oba-2023-babylm-challenge-curriculum-learning-based/)** *(2023 · 9 citations)* The BabyLM Challenge is a shared task in which language models are trained on a small corpus. Its size approximates the amount of language a child hears at an early age. The authors built on the fact that adults first speak to young children in simple, short phrases, and the complexity of speech increases as the… 4. **[An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal](https://md.research.elamur.ai/free/en/papers/yoshida-2026-existence-proof-neural-language-models/)** *(2026 · 1 citation)* Neural language models (LMs) estimate reading difficulty well on simple, naturalistic text. On garden-path sentences, however, their surprisal predicts far less slowdown than humans actually show. Several researchers have taken this gap as evidence that syntactic disambiguation cost lies outside surprisal theory.… 5. **[Rethinking the Relationship between the Power Law and Hierarchical Structures](https://md.research.elamur.ai/free/en/papers/nakaishi-2026-rethinking-relationship-between-power-law/)** *(2026)* Across many corpora, the statistical dependence between linguistic units (phones, characters, words) weakens with distance following a power law rather than an exponential curve. ## Also in our library 2 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Ryo Yoshida](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/) ×4 - [Taiga Someya](https://md.research.elamur.ai/free/en/authors/taiga-someya/) ×2 - [Masato Mita](https://md.research.elamur.ai/free/en/authors/masato-mita/) - [Tatsuki Kuribayashi](https://md.research.elamur.ai/free/en/authors/tatsuki-kuribayashi/) ## Cited by Papers of our library cite their works 36 times (of the 140,884 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yohei-oseki/cited-by/). Updated 23 October 2026