Research

研究

  • Home
  • 研究業績
  • 研究業績

    カテゴリー

    研究領域

    • HealthGenie: An Interactive Knowledge-Driven LLM Framework for Tailored Dietary Guidance

      Fan Gao, Xinjie Zhao, Ding Xia, Zhongyi Zhou, Rui Yang, Jinghui Lu, Hang Jiang, Chanjun Park and Irene Li

      Conference on Information and Knowledge Management(CIKM 2025)

    • AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots

      Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, Mónica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park and Irene Li

      Conference on Information and Knowledge Management(CIKM 2025)

    • The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities

      Manato Yaguchi(*) , Kotaro Sakamoto(*) , Ryosuke Sakamoto(*) , Masato Tanabe(*) , Masatomo Akagawa(*) , Yusuke Hayashi(*) , Masahiro Suzuki, Yutaka Matsuo “The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities”. Transactions on Machine Learning Research (TMLR). (*) Equal Contribution

      Transactions on Machine Learning Research (TMLR)

    • CityNav: A Large-Scale Dataset for Real-World Aerial Navigation

      Jungdae Lee*, Taiki Miyanishi*, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue (* denotes equally contributed)

      International Conference on Computer Vision (ICCV 2025)

    • GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields

      Shunsuke Yasuki, Taiki Miyanishi, Nakamasa Inoue, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Masato Taki, Yutaka Matsuo

      International Conference on Computer Vision (ICCV 2025)

    • Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models

      Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim

      Transactions on Machine Learning Research (TMLR)

    • Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning

      Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

      The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

    • GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking

      Yingjian Chen, Haoran Liu, Yinhong Liu, Rui Yang, Han Yuan, Yanran Fu, Pengyuan Zhou, Qingyu Chen, James Caverlee, Irene Li

      The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

    • Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar

      Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

    • In-Context Meta Learning Induces Multi-Phase Circuit Emergence

      Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Machine Learning (ICML2025)