Ryo Yoshida

Ph.D student at the University of Tokyo / Jool Corp. Co-founder

Language Computational Cognitive Science Laboratory (Oseki Laboratory)

Department of Language and Information Sciences, Graduate School of Arts and Sciences, University of Tokyo

Biography

I’m Ryo Yoshida, a Ph.D student at the Department of Language and Information Sciences, Graduate School of Arts and Sciences, University of Tokyo. I’m working with Yohei Oseki on natural language processing, cognitive modeling, and syntactic supervision.

Interests

Natural Language Processing
Cognitive Modeling
Syntactic Supervision

Education

Doctor of Arts, April 2023 - Present

Department of Language and Information Sciences, Graduate School of Arts and Sciences, University of Tokyo
Master of Arts, April 2021 - March 2023

Department of Language and Information Sciences, Graduate School of Arts and Sciences, University of Tokyo
Bachelor of Arts, April 2017 - March 2021

Department of Humanities and Social Sciences, College of Arts and Sciences, University of Tokyo

Skills

Python

4 years

R

A little

Haskell

Beginner

Experience

CTO

Jool Corp.

Apr 2022 – Mar 2024 Kyoto

学術専門職員

The University of Tokyo

Nov 2021 – Mar 2023 Tokyo

AI engineering internship

ELYZA, Inc.

May 2020 – Oct 2022 Tokyo

Grants

Japan Society for Promotion of Science (JSPS) Research Fellowship for Young Scientists (DC2)

200,000 yen / month + 1,500,000 yen
April 2024 - March 2026

Apr 1, 2024

日本学生支援機構奨学金特に優れた業績による返還免除（全額免除）

1,200,000 yen

Jul 7, 2023

グリーントランスフォーメーション (GX) を先導する高度人材育成 (SPRING GX)

180,000 yen / month + 340,000 yen / year
April 2023 - March 2026

Apr 1, 2023

Recent Publications

Taiga Someya, Ryo Yoshida, Hitomi Yanaka, Yohei Oseki (2025). Derivational Probing: Unveiling the Layer-wise Construction of Syntactic Structures in Neural Language Models. To appear in CoNLL 2025.

Ryo Yoshida, Yushi Sugimoto, Yohei Oseki (2025). Investigating Psychometric Predictive Power of Syntactic Attention. To appear in CoNLL 2025.

Masato Mita, Ryo Yoshida, Yohei Oseki (2025). Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition. To appear in ACL 2025.

Preprint

Ryo Yoshida, Shinnosuke Isono, Kohei Kajikawa, Taiga Someya, Yushi Sugimoto, Yohei Oseki (2025). If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?. To appear in ACL 2025.

Preprint

Tatsuki Kuribayashi, Ryo Ueda, Ryo Yoshida, Yohei Oseki, Ted Briscoe, Timothy Baldwin (2024). Emergent Word Order Universals from Cognitively-Motivated Language Models. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (acceptance rate: 21.3%).

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