Research

研究

  • Home
  • 研究業績
  • 研究業績

    カテゴリー

    研究領域

    • Steering at the Source: Style Modulation Heads for Robust Persona Control

      Steering at the Source Style Modulation Heads for Robust Persona Control

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026

    • Emergent Analogical Reasoning in Transformers

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

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), Spotlight, July 2026

    • Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying

      Soichiro Nishimori, Paavo Parmas, Sotetsu Koyamada, Tadashi Kozuno, Toshinori Kitamura, Shin Ishii, Yutaka Matsuo

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026

    • Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks

      Gnankan Landry Regis N’guessan, Bum Jun Kim

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026

    • Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models Against Gaussian Noise

      Bum Jun Kim, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026

    • Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise

      Keno Harada, Lui Yoshida, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 30th Conference on Computational Natural Language Learning (CoNLL 2026), July 2026

    • Towards High- resolution and Disentangled Reference-based Sketch Colorization

      Dingkun Yan*, Xinrui Wang*, Ru Wang*, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo (*Equal Contribution)

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026), Highlight, June 2026

    • Enhancing Dermoscopic Image Generation via Multi-Modal Conditional Diffusion Models

      Yun Jiang, Yarong Jin, Tao Sun, Huanting Guo, Zequn Zhang, Yuhang Li, Qian Niu

      Neurocomputing, 2026

    • Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models

      Qi Cao, Takeshi Kojima, Andrew Gambardella, Helinyi Peng, Yutaka Matsuo, Yusuke Iwasawa

      The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Findings, July 2026

    • Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks

      Sunil Kumar Maurya, Xin Liu

      The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main, Long, July 2026