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    • 国際会議
      応用研究 機械学習一般

      Visual Similarity and Structural Aggregation in Examiner-Citation Networks for GNN Evaluation

      [paper]

      Soichi Onozuka, Yohei Kobashi, Takaaki Ohnishi, Yutaka Matsuo

      Proceedings of the 25th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2026), Short Paper, December 2026

    • 国際会議
      LLM / NLP 応用研究 機械学習一般

      Lightweight Ban Prediction in YouTube Live-Stream Chat: Per-Genre Feature Selection and Automatic Genre Assignment

      Ryotaro Hamada, Yohei Kobashi, Hiroto Sudo, Yutaka Matsuo

      Proceedings of the 25th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2026), Regular Paper, December 2026

    • 論文誌
      機械学習一般 生成モデル

      FasTARFlow: Distilling Transformer-based Autoregressive Flows into Fast Inverse Autoregressive Models

      Kai Yamashita, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

      Neurocomputing, 2026

    • 論文誌
      ロボティクス 強化学習

      Reinforcement Learning with a Low-Cost Parallel Linkage Gripper for Static and Dynamic Planar In-Hand Manipulation

      Yanzhou Jin, Adam J. Spiers, Yusuke Iwasawa, Yutaka Matsuo, Yaonan Zhu* (*corresponding author)

      Advanced Intelligent Systems, 2026

    • 国際会議
      LLM / NLP

      Training Lightweight PII Text Detectors via Rubric-Guided Contrastive Data Synthesis

      [paper]

      Shota Ekuni, Jie Zeng, Yohei Kobashi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Industry Track, October 2026

    • 国際会議
      LLM / NLP

      In-Context Neurofeedback: Can LLMs Control Their Internal Representations through Privileged Access?

      [paper]

      Koshiro Aoki, Ryota Takatsuki, Gouki Minegishi, Yusuke Haruki, Daisuke Kawahara

      Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Findings, October 2026

    • 国際会議
      LLM / NLP

      Zipping the Thought: When and How Compressed Reasoning Data Works in LLM Post-Training

      [paper]

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

      Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Findings, October 2026

    • 国際会議
      LLM / NLP

      Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models

      [paper]

      Xiaojie Gu, Sherry T. Tong, Aosong Feng, Sophia Simeng Han, Jinghui Lu, Yingjian Chen, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Rex Ying, Irene Li

      Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Findings, October 2026

    • 論文誌
      世界モデル 生成モデル

      WorldPack: Dynamic Frame Compression for Long-context Video World Modeling

      [paper]

      Yuta Oshima, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

      Transactions on Machine Learning Research (TMLR), 2026

    • 論文誌
      世界モデル 生成モデル

      SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

      Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

      New Generation Computing (NGC), 2026