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    • “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)

    • “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)

    •  “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).

    • “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).

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

      Hiroshi Yamakawa

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

    • “Sustainability of Digital Life Form Societies”

      Hiroshi Yamakawa

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

    • ”Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks”

      Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo

      Proceeding of the 62nd Annual Meeting of the Association for Computer Linguistics (ACL2024)

    •  “KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques”

      Edison Marrese-Taylor

      Proceeding of the 62nd Annual Meeting of the Association for Computer Linguistics (ACL2024)

    •  “Improving Low-resource Asian Machine Translation using Bilingual Lexical Resources”

      Francis Zheng, Edison Marrese-Taylor

      Proceeding of the 62nd Annual Meeting of the Association for Computer Linguistics (ACL2024).

    • On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons.”

      Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo

      The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2024)