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    • 国際会議
      LLM / NLP

      Mechanism of Task-oriented Information Removal in In-context Learning

      Hakaze Cho, Haolin Yang, Gouki Minegishi, Naoya Inoue

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議

      RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs

      Kohsei Matsutani, Shota Takashiro, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議

      C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions

      Kenji Kubo, Shunsuke Kamiya, Masanori Koyama, Kohei Hayashi, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議
      LLM / NLP 強化学習

      Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients?

      Ku Onoda, Paavo Parmas, Manato Yaguchi, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議

      Quantization-Aware Diffusion Models For Maximum Likelihood Training

      Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議
      LLM / NLP 強化学習

      Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learnin

      Ru Wang, Wei Huang, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議
      機械学習一般

      MMA:Benchmarking Multi-ModalLarge Language Models in Ambiguity Context

      Ru Wang*, Selena Song*, Yuquan Wang, Liang Ding, Mingming Gong, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      The Third Conference on Parsimony and Learning(CPAL 2026)

    • 国際会議
      機械学習一般

      Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization

      Ru Wang, Wei Huang, Selena Song, Haoyu Zhang, Qian Niu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      The Third Conference on Parsimony and Learning(CPAL 2026)

    • 国際会議
      LLM / NLP

      Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models

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

      The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)

    • 国際会議
      LLM / NLP

      ∞-MoE: Generalizing Mixture of Experts to Infinite Expert

      Shota Takashiro, Takeshi Kojima, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo

      The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)