Koki Maeda
前田 航希
Doctoral student @ Tokyo Tech, Okazaki Lab.
Research Assistant @ NII
Engineering Intern @ Cierpa & Co.
Hi👋 I'm Koki Maeda, currently 1st year of Ph.D course at Tokyo Institute of Technology. I'm privileged to be advised by Prof Naoaki Okazaki and to have the opportunity to collaborate on research with Shuhei Kurita.
The aim of my research is to accurately evaluate the model’s understanding of the world. My work primarily focuses on developing robust evaluation metrics and methodologies to assess the performance of natural language processing and computer vision models in various real-world scenarios. I aim to contribute to the creation of more reliable and interpretable AI systems.
If you are interested in my work and have opportunities for research internships, visiting student positions, or collaborative research, please feel free to contact me:
koki.maeda[at]nlp[dot]c.titech.ac.jp
Links
[ X(Twitter) ] | [ Google Scholar ]
Research Interest
Vision and Language, especially scene understanding
Evaluation
(Vision) Language Models
Grammatical Error Collection/Correction
Publications: International Conference
Koki Maeda*, Tosho Hirasawa*, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, and Yoshitaka Ushiku. 2024. COM Kitchens: An Unedited Overhead-view Procedural Videos Dataset a Vision-Language Benchmark. In Proceedings of The 18th European Conference on Computer Vision: ECCV 2024, pages XXXX–XXXX, Milan, Italy. ECCV. (Acceptance Rate: 27.9%, *: Equally Contribution) [arxiv] | [code@github]
Koki Maeda, Shuhei Kurita, Taiki Miyanishi, and Naoaki Okazaki. 2023. Query-based Image Captioning from Multi-context 360cdegree Images. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 6940–6954, Singapore. Association for Computational Linguistics. (Acceptance Rate: 42.9%)
Taku Hasegawa, Kyosuke Nishida, Koki Maeda, and Kuniko Saito. 2023. DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023), pages 13607–13624, Singapore. Association for Computational Linguistics. (Acceptance Rate: 21.3%)
Koki Maeda, Masahiro Kaneko, and Naoaki Okazaki. 2022. IMPARA: Impact-Based Metric for GEC Using Parallel Data. In Proceedings of the 29th International Conference on Computational Linguistics (COLING2022), pages 3578–3588, Gyeongju, Republic of Korea. International Committee on Computational Linguistics. (Acceptance Rate: 33.4%) [ACL Anthology] | [Poster]
Publications: Referred Workshop / Preprint / Others
Preprint
Koki Maeda, Shuhei Kurita, Taiki Miyanishi, and Naoaki Okazaki. Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction arXiv.2402.17969 2024 Feb.
Domestic Conference (Japanese)
齋藤 幸史郎, 水木 栄, 大井 聖也, 中村 泰士, 塩谷 泰平, 前田 航希, Ma Youmi, 服部 翔, 藤井 一喜, 岡本 拓己, 石田 茂樹, 高村 大也, 横田 理央, 岡崎 直観. LLMに日本語テキストを学習させる意義.情報処理学会 第261回自然言語処理研究会 研究報告(2024-NL-261), 2024年9月. 優秀研究賞
橋本 敦史, 前田 航希, 平澤 寅庄, 原島 純, RYBICKI Leszek, 深澤 祐援, 牛久 祥孝. 調理作業理解のための言語資源付き固定視点映像データセットの構築. 2024年度人工知能学会全国大会(第38回). 2024年5月, 浜松 [Paper]
前田 航希, 栗田 修平, 宮西 大樹, 岡崎 直観. 視覚的文脈を利用した視覚言語モデルによる画像キャプション生成自動評価手法. 言語処理学会第30回年次大会 (NLP2024), P7-10, pp. 1996–2001, 2024年3月. [Paper].
前田 航希, 栗田 修平, 宮西 大樹. QuIC-360◦: 360◦ 画像に対するクエリ指向画像説明文生成のためのデータセット構築. 言語処理学会第29回年次大会 (NLP2023), H12-5, pp. 3013–3018, 2023年3月. [Paper].
西田 京介, 長谷川 拓, 前田 航希, 齋藤 邦子. DueT: 視覚・言語のDual-adapter Tuningによる基盤モデル. 言語処理学会第29回年次大会 (NLP2023), B7-3, pp. 1586–1591, 2023年3月. 🎉Special Committee Award (4.5%). [Paper]
前田 航希, 金子 正弘, 岡崎 直観. IMPARA: パラレルデータにおける修正の影響度に基づいた文法誤り訂正の自動評価法. 言語処理学会第28回年次大会 (NLP2022), pp. 328–333, 2022年3月. 🎉Best Paper Award (2.3%). [Paper]
Symposium, Invited Talk
赤部 晃一 , 前田 航希, 栗田 修平, 小田 悠介.ESG情報抽出データセットの検討.第19回言語処理若手シンポジウム(YANS2024).2024年9月.
服部 翔, 水木 栄, 藤井 一喜, 中村 泰士, 大井 聖也, Ma Youmi, 前田 航希, 塩谷 泰平, 齋藤 幸史郎, 岡本 拓己, 石田 茂樹, 横田 理央, 高村 大也, 岡崎 直観.小規模で高性能なLLMのための高品質事前学習Webコーパスの構築.第19回言語処理若手シンポジウム(YANS2024).2024年9月.
Education
2024.04 - Present Doctor of Tokyo Institute of Technology, Tokyo, Japan
School of Computing, Department of Computer Science, Artificial Intelligence Course
2022.04 - 2024.03 Master of Tokyo Institute of Technology, Tokyo, Japan
School of Computing, Department of Computer Science, Artificial Intelligence Course
2018.04 - 2022.03 Bachelor of Tokyo Institute of Technology, Tokyo, Japan
School of Computing, Department of Computer Science
Experience
2024.07 - Present Cierpa & Co., Engineering Intern
2024.06 - Present NII, Research Assistant
2023.06 - 2024.01 OMRON SINIC X, Student Internship
2022.07 - 2024.03 RIKEN AIP, Research Part-time Worker II
2022.08 - 2022.09 NTT Lab., Summer Internship
2021.12 - 2022.12 Tokyo Institute of Technology, Research Assistant
2021.02 - 2022.03 Future, Member of Strategic AI Group
Others
2024.04-2027.03 Tokyo Tech Program for Development of Co-creative Experts towards Top-level AI Research 3,600,000 JPY/year
2024.04-(canceled) Tokyo Tech Tsubame Scholarship for Doctoral Students 480,000 JPY / year