About me

Kazuki Yano is 2nd-year Master student in Information Science, working on machine learning at Tohoku NLP.
I’m interested in Natural Language Processing (NLP) and other related technologies.
I’m currently focusing specifically on efficient training methods for large language models.

Education

M.S. in Information Science, Tohoku University, 2025 (expected)
- Supervisor: Prof. Jun Suzuki
B.S. in Information Science, Hokkaido University, 2023

August 2024 - September 2024: Preferred Networks
- Reseach Intern
July 2024 - Present: AI Architecture Section, AI for Business Department,Rakuten Group, Inc.
- Data Scientist (Part-time job)
April 2024 - Present: Graduate Program in Data Science
- Research Assistant
August 2023 - September 2023: LINE Corporation
- Reseach Intern
- Focused on research on large language models, specifically adversarial attacks against language models.
- see achievement

Kazuki Yano, Takumi Ito, Jun Suzuki. STEP: Staged Parameter-Efficient Pre-training for Large Language Models. Non-archival submission for ACL Student Research Workshop (ACL-SRW 2024) August 2024.

矢野一樹 (東北大学), 綿岡晃輝, Thien Q. Tran, 髙橋翼, Seng Pei Liew (LINEヤフー), 鈴木潤 (東北大/理研). 対話モデルに対する敵対的プロンプトの効率的な最適化. 言語処理学会第30回年次大会, 2024年3月.
矢野一樹 (東北大学), 伊藤拓海 (東北大/Langsmith), 鈴木潤 (東北大/理研). LoRAチューニングの効果的な利用のための設定分析. NLP若手の会第18回シンポジウム. 2023年8月.
矢野一樹, ジェプカラファウ, 荒木健治. 日本語知識グラフを用いた質問応答システムの構築とグラフサイズの影響の検証. 情報処理学会第255回自然言語処理研究会, 2023年3月.