Momoka Furuhashi
1st year Ph.D. Student in Computer Science
Tohoku University
I'm a first-year PhD student at TohokuNLP Group, Tohoku University.
My research interests include applying natural language processing techniques to generate feedback based on students’ answers and to automatically evaluation of generative tasks.
Education
Tohoku University
D.S. in Information Science
Advisor: Kentaro Inui, Yuichiro Matsubayashi
Tohoku University
M.S. in Information Science
Advisor: Kentaro Inui, Yuichiro Matsubayashi
Tsuda University
B.E. in Mathematics
Advisor: Toshio Mikami
Publications
International Conference (Peer-reviewed)
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
Momoka Furuhashi, Kouta Nakayama, Takashi Kodama, and Saku Sugawara.
In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP2025 Main), pp. 10641--10664, November, 2025, Suzhou, China.
Batch-wise Convergent Pretraining: Step-by-Step Learning Inspired by Child Language Development
Ko Yoshida, Daiki Shiono, Kai Sato, Toko Miura, Momoka Furuhashi, and Jun Suzuki.
Proceedings of the First BabyLM Workshop (BabyLM Workshop), pp. 508--524, November, 2025, Suzhou, China.
Automatic feedback generation for short answer questions using answer diagnostic graphs
Momoka Furuhashi, Hiroaki Funayama, Yuya Iwase, Yuichiroh Matsubayashi, Yoriko Isobe, Toru Nagahama, Saku Sugawara, and Kentaro Inui.
The 16th annual International Conference on Education and New Learning Technologies (EDULEARN 2024), pp. 6706--6716, July, 2024, Majorca, Spain.
Domestic Conference (Non-peer-reviewed)
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
Momoka Furuhashi, Kouta Nakayama, Takashi Kodama, and Saku Sugawara.
Japanese Symposium on Open Large Language Models, November, 2025, Tokyo, Japan.
類題を用いた教育的フィードバックの自動評価.
古橋 萌々香, 中山 功太, 児玉 貴志, 菅原 朔.
The 20th Symposium of Young Researcher Association for NLP Studies (YANS 2025), September, 2025, Hamamatsu, Japan.
バッチ単位収束型事前学習：子どもの言語発達に着想を得た一歩ずつの学習.
吉田 倖, 塩野 大輝, 佐藤 魁, 古橋 萌々香, 三浦 東子, 鈴木 潤.
The 20th Symposium of Young Researcher Association for NLP Studies (YANS 2025), September, 2025, Hamamatsu, Japan.
生成系タスクの自動評価においてチェックリストの使用は有効なのか？
古橋 萌々香, 中山 功太, 児玉 貴志, 菅原 朔.
The 31th Annual Meeting of the Association for Natural Language Processing (NLP 2025), pp. 1968--1973, March, 2025, Nagasaki, Japan.
チェックリストを利用した生成系タスクの網羅的評価.
古橋 萌々香, 中山 功太, 児玉 貴志, 菅原 朔, 関根 聡, 宮尾 祐介.
The 19th Symposium of Young Researcher Association for NLP Studies (YANS 2024), September, 2024, Osaka, Japan.
答案診断グラフを用いた国語記述式答案へのフィードバックの生成．
古橋萌々香, 舟山弘晃, 岩瀬裕哉, 松林優一郎, 磯部順子, 菅原朔, 乾健太郎.
The 30th Annual Meeting of the Association for Natural Language Processing (NLP 2024), pp. 18--23, March, 2024, Kobe, Japan.
次世代教育のための論理的思考力育成データセットの生成について.
古橋萌々香,松林優一郎,磯部順子,舟山弘晃,乾健太郎.
The 18th Symposium of Young Researcher Association for NLP Studies (YANS 2023), August, 2023, Tokyo, Japan.
Experience
Research Assistant — Research and Development Center for Large Language Models, National Institute of Informatics
Advisor: Yusuke Miyao, and Saku Sugawara
Visiting Student — NLP Department, Mohamed Bin Zayed University of Artificial Intelligence
Advisor: Kentaro Inui
Part-time Researcher — RIKEN AIP Natural Language Understanding Team
Advisor: Kentaro Inui
Research Assistant — National Institute of Informatics
Advisor: Saku Sugawara
Student Trainee — RIKEN AIP Natural Language Understanding Team
Advisor: Kentaro Inui
Summer Internship — NEC Corporation AI Analytics
Talks
国語の記述式問題における（答案にあった）コメント文生成の研究
「サイエンス・アドバイザーと一緒に考える 研究者ってなに？」- 東北大学オープンキャンパス2024
システムによるフィードバック体験ワークショップ
Grant
遺贈を活用した若手研究者支援策
BOOST Program for next-generation AI areas
※ BOOST: Broadening Opportunities for Outstanding young researchers and doctoral students in STrategic areas Research Fellow (Subsidized Project by the JST (Japan Science and Technology Agency))
WISE Program for AI Electronics (AIE)
Research Fellow (Subsidized Project by the Ministry of Education, Culture, Sports, Science and Technology)
JASSO Scholarship
Half Repayment Exemption due to outstanding achievements (特に優れた業績による半額返済免除)