--- title: "Ryo Yoshida — author profile and papers" description: "Ryo Yoshida, The University of Tokyo: 4 papers on Elamur Research (2024–2026), h-index 63 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/ryo-yoshida/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ryo-yoshida/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ryo Yoshida # Ryo Yoshida Ryo Yoshida has 4 papers in our library, in 2024–2026, 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 [Yohei Oseki](https://md.research.elamur.ai/free/en/authors/yohei-oseki/), [Taiga Someya](https://md.research.elamur.ai/free/en/authors/taiga-someya/), [Masato Mita](https://md.research.elamur.ai/free/en/authors/masato-mita/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5072124735) · [ORCID](https://orcid.org/0000-0002-0558-2922) · [**h-index 63**](https://openalex.org/authors/A5072124735) · [459 works](https://openalex.org/works?filter=author.id:A5072124735) · [16,296 citations](https://openalex.org/works?filter=author.id:A5072124735&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/#papers) · [🔗 18 citations in our library](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #4655](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4655) 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=Ryo+Yoshida) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ryo+Yoshida) · [dblp](https://dblp.org/search?q=Ryo+Yoshida) · [ACL Anthology](https://aclanthology.org/search/?q=Ryo+Yoshida) ## Affiliations [🎓**The University of Tokyo** Tokyo · Japan 2002–2026 · 236 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🎓**The University of Osaka** Osaka · Japan 2023–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-osaka/) · [🏛️**Japan Science and Technology Agency** Tokyo · Japan 2008–2011 · 20 papers](https://md.research.elamur.ai/free/en/government/japan-science-and-technology-agency/) · [🎓**University of Tsukuba** Tsukuba · Japan 1997–2010 · 19 papers](https://md.research.elamur.ai/free/en/universities/university-of-tsukuba/) · [🎓**Kansai Medical University** Osaka · Japan 1995–2013 · 14 papers](https://ror.org/001xjdh50) · [🎓**Nagoya Institute of Technology** Nagoya · Japan 2015–2025 · 12 papers](https://ror.org/055yf1005) · [🎓**Waseda University** Tokyo · Japan 1990–2020 · 12 papers](https://md.research.elamur.ai/free/en/universities/waseda-university/) · [🎓**Shinshu University** Matsumoto · Japan 2009–2023 · 9 papers](https://ror.org/0244rem06) · [🎓**Tohoku University** Sendai · Japan 2009–2016 · 8 papers](https://md.research.elamur.ai/free/en/universities/tohoku-university/) · [🎓**Tokyo Women's Medical University** Tokyo · Japan 1994–1996 · 8 papers](https://ror.org/03kjjhe36) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 more institutions on single bylines are not listed. ## Topics [Psycholinguistics & language acquisition (2)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/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/) ## 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. **[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.… 4. **[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 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Yohei Oseki](https://md.research.elamur.ai/free/en/authors/yohei-oseki/) ×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 18 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/ryo-yoshida/cited-by/).