Research
研究
研究業績
カテゴリー
研究領域
年
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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)
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Plan-and-Act: Improving 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)
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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)
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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)
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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)
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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)
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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).
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Does Superintelligence Dream of Ethical Empowerment?
Yusuke Hayashi, Hiroshi Yamakawa
9th International Conference on Robot Ethics and Standards (ICRES 2024)
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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)
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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)