
Research
研究
研究業績
カテゴリー
研究領域
年
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Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
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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 (ICML2025)
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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 (ICML2025)
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Continual Pre-training on Character-Level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners
Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Transactions of the Association for Computational Linguistics (TACL), 2025
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LegalViz: Legal Text Visualization by Text To Diagram Generation
Eri Onami, Taiki Miyanishi, Koki Maeda, Shuhei Kurita
Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2025), April-May 2025
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Multilingual Definition Modelling
Edison Marrese-Taylor, Erica K. Shimomoto, Alfredo Solano, Enrique Reid
The Annual Meeting of the Association for Computational Linguistics (ACL), 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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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 (NAACL2025)
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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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Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe
Zhenxuan Yu, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Proceedings of the International Conference on Computational Linguistics (COLING 2025), January 2025