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    • 国際会議
      強化学習 理論

      Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation

      [paper]

      Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo.

      Advances in Neural Information Processing Systems (NeurIPS 2025), Spotlight, December 2025

    • 国際会議
      コンピュータービジョン 世界モデル 生成モデル

      Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

      [paper]

      Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.

      Advances in Neural Information Processing Systems (NeurIPS 2025), December 2025

    • 国際会議
      LLM / NLP 表現学習

      Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties

      [paper]

      Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      Advances in Neural Information Processing Systems (NeurIPS 2025), December 2025

    • 国際会議
      LLM / NLP

      HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models

      [paper]

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

      Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), November 2025

    • 国際会議
      Brain-Inspired Intelligence

      MeLiRO: Measurement-Likeness Referent Ontology

      Hiroshi Yamakawa, Yoshimasa Tawatsuji

      Proceedings of the Joint Ontology Workshops (JOWO 2025), CAOS Workshop, September 2025

    • 論文誌
      LLM / NLP

      大規模画像言語モデルにおける事実性バイアスの体系的な分析

      冨山翔司、山下佳威、 鈴木雅大、 落合桂一、松尾豊

      情報処理学会論文誌

    • 論文誌
      世界モデル 生成モデル 表現学習

      Efficient Object-Centric Representation Learning using Masked Generative Modeling

      [paper]

      Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

      Transactions on Machine Learning Research (TMLR), 2025

    • 論文誌
      LLM / NLP

      サマリレベルでの画像の利用法を用いたマルチモーダル翻訳手法の提案

      冨山翔司, 味曽野雅史, 鈴木雅大, 落合桂一, 岩澤有祐, 松尾豊

      知能と情報

    • 受賞
      ロボティクス

      Real-World Robot Applications of Foundation Models: A Review

      [paper]

      Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng

      Advanced Robotics Best Survey Paper Award

    • 国際会議
      LLM / NLP

      Dynamic Injection of Entity Knowledge into Dense Retrievers

      [paper] [slide] [poster]

      Ikuya Yamada, Ryokan Ri, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      Empirical Methods in Natural Language Processing (EMNLP 2025), Findings, November 2025