Research

研究

研究業績

カテゴリー

研究領域

年

  • 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

  • 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

  • Multilingual Definition Modelling

    Edison Marrese-Taylor, Erica K. Shimomoto, Alfredo Solano, Enrique Reid

    The Annual Meeting of the Association for Computational Linguistics (ACL), 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)

  • 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)

  • 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)

  • 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

  • Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web

    Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

    Transactions on Machine Learning Research (TMLR), 2025

  • 2024年度 第19回言語処理若手シンポジウム(YANS2024),スポンサー賞(株式会社日立製作所賞): “指示数増加による大規模言語モデルの指示追従性能への悪影響”

    小島 武

  • 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).