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    • 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)

    • Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words

      Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations (ICLR 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)

    • 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).

    • Does Superintelligence Dream of Ethical Empowerment?

      Yusuke Hayashi, Hiroshi Yamakawa

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

    • 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)

    • 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).