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    • 国際会議
      LLM / NLP

      Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning

      [paper] [web]

      Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

      The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

    • 国際会議
      LLM / NLP

      GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking

      [paper] [web]

      Yingjian Chen, Haoran Liu, Yinhong Liu, Rui Yang, Han Yuan, Yanran Fu, Pengyuan Zhou, Qingyu Chen, James Caverlee, Irene Li

      The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

    • 国際会議
      LLM / NLP

      Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar

      [paper]

      Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

    • 国際会議
      LLM / NLP

      In-Context Meta Learning Induces Multi-Phase Circuit Emergence

      [paper] [web]

      Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Machine Learning (ICML)

    • 国際会議
      LLM / NLP

      Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

      [paper] [web]

      Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami

      International Conference on Machine Learning (ICML)

    • 論文誌
      LLM / NLP

      Continual Pre-training on Character-Level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners

      [paper]

      Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

      Transactions of the Association for Computational Linguistics (TACL)

    • 論文誌
      機械学習一般 表現学習

      Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks

      [paper]

      Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo

      Transactions on Machine Learning Research (TMLR)

    • 国際会議
      LLM / NLP

      Language Models can Categorize System Inputs for Performance Analysis

      [paper] [web]

      Dominic Sobhani, Ruiqi Zhong, Edison Marrese-Taylor, Keisuke Sakaguchi, Yutaka Matsuo

      Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)

    • 国際会議
      強化学習 理論

      Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form

      [web]

      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)

    • 国際会議
      LLM / NLP

      Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words

      [paper]

      Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations (ICLR 2025)