Research

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

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

      International Conference on Machine Learning (ICML)

    • Plan-and-Act: Improving the Planning of Agents for Long-Horizon Tasks

      Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami

      International Conference on Machine Learning (ICML)

    • Continual Pre-training on Character-Level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners

      Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

      Transactions of the Association for Computational Linguistics (TACL)

    • A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics

      Takeshi Kojima*, Yaonan Zhu*, Yusuke Iwasawa*, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo (*Equal Contribution)

      The 34th International Joint Conference on Artificial Intelligence – Survey Track (IJCAI 2025 Survey Track)

    • Bridging Lottery Ticket and Grokking: Understanding Grokking from the Inner Structure of Networks

      Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo

      Transactions on Machine Learning Research (TMLR)

    • Multilingual Definition Modelling

      Edison Marrese-Taylor, Erica K. Shimomoto, Alfredo Solano, Enrique Reid

      The Annual Meeting of the Association for Computational Linguistics (ACL), 2025.

    • Image Referenced Sketch Colorization Based on Animation Creation Workflow

      Dingkun Yan*, Xinrui Wang*, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)

    • Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge

      Meiyun Wang, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL 2025)

    • Language Models can Categorize System Inputs for Performance Analysis

      Dominic Sobhani, Ruiqi Zhong, Edison Marrese-Taylor, Keisuke Sakaguchi, Yutaka Matsuo

      Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)

    • Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form

      Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo

      International Conference on Learning Representations (ICLR 2025)