About

Hi! I’m Issa Sugiura

I am a first year PhD student at Institute of Science Tokyo, majoring in Computer Science.

My research centers on multimodality, especially vision-language models (VLMs). I have led and contributed to projects across the full pipeline of VLM development, including:

• constructing large-scale training datasets (e.g., WAON, Jagle)
• developing reliable evaluation benchmarks (e.g., JAMMEval)
• building Japanese-centric VLMs (e.g., LLM-jp-4-VL 9B beta)

I like to learn by building things.

Hobby

I enjoy reading and traveling.

Education

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• Doctoral Program, Course of Artificial Intelligence, Department of Computer Science, School of Computing, Institute of Science Tokyo, Japan. April 2026 — March 2029 (Expected)
• Master’s degree, Course of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University, Japan. April 2024 — March 2026
• Bachelor’s degree, Software Science Course, Department of Information and Computer Sciences, School of Engineering Science, Osaka University, Japan. GPA: 3.57/4.00. April 2020 — March 2024

Internships / Employments

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Research

International Conference

• EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements. ICLR2026, April 2026. Issa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha.
  [Paper] | [Dataset] | [Code]
• Developing Japanese CLIP Models Leveraging an Open-weight LLM for Large-scale Dataset Translation. NAACL Student Research Workshop 2025, April 2025. Issa Sugiura, Shuhei Kurita, Yusuke Oda, Daisuke Kawahara, Naoaki Okazaki.
  [Paper] | [Code] | [Model] | [Dataset]
• Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language Model. NAACL 2025 Demo Track, April 2025. Keito Sasagawa, Koki Maeda, Issa Sugiura, Shuhei Kurita, Naoaki Okazaki, Daisuke Kawahara.
  [Paper]
• A Comprehensive Analysis of Memorization in Large Language Models. The 17th International Natural Language Generation Conference (INLG 2024), September 2024. Hirokazu Kiyomaru*, Issa Sugiura*, Daisuke Kawahara and Sadao Kurohashi.
  [Paper] | [Code]

Journal

• Removing Mislabeled Data from Trained Models via Machine Unlearning. IEICE Transactions on Information and Systems, August 2025. Issa Sugiura, Shingo Okamura, Naoto Yanai.
  [Paper]

Preprints

• Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision-Language Models. Arxiv, April 2026. Issa Sugiura, Keito Sasagawa, Keisuke Nakao, Koki Maeda, Ziqi Yin, Zhishen Yang, Shuhei Kurita, Yusuke Oda, Ryoko Tokuhisa, Daisuke Kawahara, Naoaki Okazaki.
  [Paper] | [Project Page]
• JAMMEval: A Refined Collection of Japanese Benchmarks for Reliable VLM Evaluation. Arxiv, April 2026. Issa Sugiura, Koki Maeda, Shuhei Kurita, Yusuke Oda, Daisuke Kawahara, Naoaki Okazaki.
  [Paper] | [Project Page]
• WAON: Large-Scale and High-Quality Japanese Image-Text Pair Dataset for Vision-Language Models. Arxiv, October 2025. Issa Sugiura, Shuhei Kurita, Yusuke Oda, Daisuke Kawahara, Yasuo Okabe, Naoaki Okazaki.
  [Paper] | [Project Page]
• Llama-Mimi: Speech Language Models with Interleaved Semantic and Acoustic Tokens. Arxiv, September 2025. Issa Sugiura, Shuhei Kurita, Yusuke Oda, Ryuichiro Higashinaka.
  [Paper] | [Model] | [Code] | [Demo]
• llm-jp-modernbert: A ModernBERT Model Trained on a Large-Scale Japanese Corpus with Long Context Length. Arxiv, April 2025. Issa Sugiura, Kouta Nakayama, Yusuke Oda.
  [Paper] | [Model] | [Code]
• LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs, July 2024, LLM-jp: Akiko Aizawa, Eiji Aramaki, …, Issa Sugiura, …, Koichiro Yoshino (80 authors, Authors are listed in alphabetical order).
  [Paper]

Domestic Conference (Non-Refereed)

• Jagle: 視覚言語モデルのための大規模日本語マルチモーダル事後学習データセットの構築. 2026年度人工知能学会全国大会 (第40回) (JSAI2026), 2026年6月. 杉浦一瑳, 笹川 慶人, 中尾 圭佑, 前田 航希, Yin Ziqi, Yang Zhishen, 栗田 修平, 小田 悠介, 徳久 良子, 河原 大輔, 岡崎直観.
  [Paper]

• Llama-Mimi: 意味・音響トークンを交互配置した音声言語モデル. 言語処理学会第32回年次大会 (NLP2026), 2026年3月. 杉浦一瑳, 栗田修平, 小田悠介, 東中竜一郎. (最優秀賞)
  [Paper] | [Model] | [Code] | [Demo]

• JAMMEval: 再アノテーションによる日本語VQA評価データセットの信頼性向上. 言語処理学会第32回年次大会 (NLP2026), 2026年3月. 杉浦一瑳, 前田航希, 栗田修平, 小田悠介, 河原大輔, 岡崎直観.
  [Paper]

• WAON: 視覚言語モデルのための大規模かつ高品質な日本語画像・テキスト対データセット. 言語処理学会第32回年次大会 (NLP2026), 2026年3月. 杉浦一瑳, 栗田修平, 小田悠介, 河原大輔, 岡部寿男, 岡崎直観. (委員特別賞)
  [Paper] | [Project Page]

• Common Crawlを用いた大規模音声音響データセットの構築. 日本音響学会2025年秋季研究発表会, 2025年9月. 浅井航平, 杉浦一瑳, 中田亘, 栗田修平, 高道慎之介, 小川哲司, 東中竜一郎.
  [Code]

• オープンLLMによる翻訳を活用した日本語CLIPの開発. 言語処理学会第31回年次大会 (NLP2025), 2025年3月. 杉浦一瑳, 栗田修平, 小田悠介, 河原大輔, 岡崎直観.
  [Paper] | [Model] | [Dataset] | [Code]

• ロススパイクの影響分析. 言語処理学会第31回年次大会 (NLP2025), 2025年3月. 杉浦一瑳, 栗田修平, 小田 悠介.
  [Paper]

• llm-jp-eval-mm: 日本語視覚言語モデルの自動評価基盤. 言語処理学会第31回年次大会 (NLP2025), 2025年3月. 前田航希*, 杉浦一瑳*, 栗田修平, 小田悠介, 岡崎直観. (若手奨励賞)
  [Paper] | [Code]

• LLM-jp-3 VILA: 日本語マルチモーダルデータセット及び強力な日本語マルチモーダルモデルの構築. 言語処理学会第31回年次大会 (NLP2025), 2025年3月. 笹川慶人, 前田航希, 杉浦一瑳, 栗田修平, 岡崎直観, 河原大輔. (委員特別賞)
  [Paper]

• 大規模言語モデルの事前学習ツールjax-llmの開発とinput-methodへの応用. 第19回言語処理若手シンポジウム(YANS2024), 2024年9月. 杉浦一瑳.
  [Draft Paper] | [Poster] | [Code (jax-llm)] | [Code (input-method)]

• ミスラベルデータの忘却による学習済みモデルの汎化性能の向上手法の提案. 第16回データ工学と情報マネジメントに関するフォーラム (DEIM2024), 2024年2月. 杉浦一瑳, 岡村真吾, 山下恭佑, 矢内直人. (LINEヤフースポンサー賞)
  [Paper] | [Slide] | [Code]

Models / Systems

• LLM-jp-4-VL 9B beta (2026)
  • Developed a 9B Japanese vision-language model achieving competitive performance on Japanese benchmarks.
  • [Blog] | [Model]

Certifications/ Qualifications

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• TOEIC L&R: L: 420 + R: 425 = 845 (October 19, 2025)
• Security Camp organized by IPA(Information-technology Promotion Agency), Web Security Course. August 2022