Research

研究

  • Home
  • 研究業績

    • 研究業績

    カテゴリー

    研究領域

    年

    • 国際会議
      LLM / NLP

      Slender-Mamba: Fully Quantized Mamba From Head to Toe.

      Zhenxuan Yu, Takeshi Kojima, Yutaka Matsuo and Yusuke Iwasawa.

      Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025).

    • 国際会議
      AI一般

      Does Superintelligence Dream of Ethical Empowerment?

      Yusuke Hayashi, Hiroshi Yamakawa

      9th International Conference on Robot Ethics and Standards (ICRES 2024)

    • 総説・解説
      Brain-Inspired Intelligence

      解釈可能性を高めて信頼し得るエージェントを実現するための脳型認知モデル

      田和辻 可昌, 大森 隆司, 太田 博三, 宮本 竜也, 芦原 佑太, 荒川 直哉, 山川 宏

      人工知能, Vol.39 No.2, p.197-204, 2024

    • 総説・解説
      Brain-Inspired Intelligence ロボティクス

      脳科学とロボティクスを結ぶ統合認知モデルの実践と展望

      谷口 彰, 山川 宏, 谷口 忠大

      人工知能, Vol.39 No.2, p.205-213, 2024.

    • 国際会議
      LLM / NLP

       “Geometric-Averaged Preference Optimization for Soft Preference Labels”

      Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur

      Advances in Neural Information Processing Systems 37 (NeurIPS 2024)

    • 国際会議
      理論 表現学習

      “ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate”

      Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

      Advances in Neural Information Processing Systems 37 (NeurIPS 2024)

    • 国際会議
      LLM / NLP

      “Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?“

      Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

      The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)

    • 国際会議
      LLM / NLP

       “Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4”

      Jiaxian Guo*, Bo Yang*, Paul Yoo, Yuchen Lin, Yutaka Matsuo, Yusuke Iwasawa

      AAAI RL+LLM, 2024 (Oral).

    • 国際会議
      LLM / NLP

      “Decoupling Noise and Toxic Parameters for Language Model Detoxification by Task Vector Merging”

      Yongmin Kim, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      2024 First Conference on Language Modeling (COLM 2024).

    • 国際会議
      AI一般

      “Aligning Superintelligence Goals with Societal Welfare: An Evolutionary Perspective”

      Hiroshi Yamakawa

      9th International Conference on Robot Ethics and Standards (ICRES 2024).