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    • 国際会議
      LLM / NLP

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

      [paper]

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

      International Conference on Learning Representations 2026 (ICLR2026), April 2026

    • 国際会議

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

      [paper]

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

      International Conference on Learning Representations 2026 (ICLR2026), April 2026

    • 国際会議
      LLM / NLP 強化学習

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

      [paper]

      Ku Onoda, Paavo Parmas, Manato Yaguchi, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026), April 2026

    • 国際会議
      生成モデル

      Quantization-Aware Diffusion Models For Maximum Likelihood Training

      [paper]

      Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026), April 2026

    • 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

      [paper]

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

      International Conference on Learning Representations 2026 (ICLR2026), April 2026

    • 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 (*Equal Contribution)

      The Third Conference on Parsimony and Learning(CPAL 2026), March 2026

    • 国際会議
      機械学習一般

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

      [paper]

      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), March 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), Main, March 2026

    • 国際会議
      LLM / NLP

      ∞-MoE: Generalizing Mixture of Experts to Infinite Expert

      [paper] [slide] [poster]

      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), March 2026

    • 国際会議
      LLM / NLP

      JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models’ Detection of Human risky health behavior Content in Jirai Community

      [paper]

      Yunze Xiao, Tingyu He, Lionel Z. WANG, Yiming Ma, Xingyu Song, Xiaohang Xu, Mona T. Diab, Irene Li, Ka Chung Ng

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