collaborators

6 papers

cs.CL2026

Multilinguality of Large Language Models From a Structural Perspective

Haruki Sakajo, Yusuke Sakai, Hidetaka Kamigaito +1

Large language models (LLMs) have excelled in processing multiple languages through pre- and post-training on multilingual data, even though English dominates the training data. Pr…

cs.CL2026

StructLens: A Structural Lens for Language Models via Maximum Spanning Trees

Haruki Sakajo, Frederikus Hudi, Yusuke Sakai +2

Language exhibits inherent structures, a property that explains both language acquisition and language change. Given this characteristic, we expect language models to manifest thei…

cs.CL2026

Can Large Language Models Understand, Reason About, and Generate Code-Switched Text?

Genta Indra Winata, David Anugraha, Patrick Amadeus Irawan +15

Code-switching is a pervasive phenomenon in multilingual communication, yet the robustness of large language models (LLMs) in mixed-language settings remains insufficiently underst…

cs.CV2025

Toward Automatic Safe Driving Instruction: A Large-Scale Vision Language Model Approach

Haruki Sakajo, Hiroshi Takato, Hiroshi Tsutsui +3

Large-scale Vision Language Models (LVLMs) exhibit advanced capabilities in tasks that require visual information, including object detection. These capabilities have promising app…

cs.CL2025

Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries

Haruki Sakajo, Yusuke Ide, Justin Vasselli +4

Cross-lingual vocabulary transfer plays a promising role in adapting pre-trained language models to new languages, including low-resource languages. Existing approaches that utiliz…

cs.CL2025

Tonguescape: Exploring Language Models Understanding of Vowel Articulation

Haruki Sakajo, Yusuke Sakai, Hidetaka Kamigaito +1

Vowels are primarily characterized by tongue position. Humans have discovered these features of vowel articulation through their own experience and explicit objective observation s…