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Generative AI Hackathon: Research & Education Project

This project aims to address societal challenges through AI and natural language processing technologies and ideas, while also supporting student education.
Participants from various organizations collaborate to exchange innovative ideas and rapidly transform them into tangible outcomes.
The research results from the project have led to significant achievements, including acceptance at top-tier international conferences.

Organizing Members

Hidetaka Kamigaito (NAIST)
Katsuhiko Hayashi (The University of Tokyo)
Yusuke Sakai (NAIST)
Taro Watanabe (NAIST)
Tsutomu Hirao (Kanazawa University)
Sho Takase (Tohoku University)
Shogo Matsuno (The University of Electro-Communications)

Core Support Members

Year 2024

Cross-Lingual Explanation of Artwork in VLMs (Accepted at NAACL25)

Shintaro Ozaki (NAIST)
Kazuki Hayashi (NAIST)
Yusuke Sakai (NAIST)

Understanding the Impact of Confidence in Retrieval Augmented Generation

Shintaro Ozaki (NAIST)
Yuta Kato (The University of Tokyo)
Siyuan Feng (The University of Tokyo)
Masayo Tomita (The University of Tokyo)
Kazuki Hayashi (NAIST)

Year 2023

Evaluating Image Review Ranking Ability of VLMs (Accepted at COLING25)

Kazuki Hayashi (NAIST)
Yusuke Sakai (NAIST)
Kazuma Onishi（Hokkaido University）
Toma Suzuki (NAIST)
Yusuke Ide (NAIST)
Seiji Gobara (NAIST)
Shigeki Saito（Hokkaido University）

Artwork Explanation in VLMs (Accepted at ACL24)

Kazuki Hayashi (NAIST)
Yusuke Sakai (NAIST)