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

      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

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

      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

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

      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

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

      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

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

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

      Transactions on Machine Learning Research (TMLR), 2026

    • 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

    • Auditing Instruction–Trajectory Mismatches in Multimodal Robot Demonstrations

      Simon Holk, Ryosuke Takanami, Tatsuya Matsushima, Yusuke Iwasawa, Yutaka Matsuo, Yueh-Hua Wu, Kei Ota

      IEEE Robotics and Automation Letters (RA-L), 2026

    • Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation

      Ku Onoda, Paavo Parmas, Hiroki Furuta, Soichiro Nishimori, Yuta Oshima, Shohei Taniguchi, Yutaka Matsuo

      The IEEE/CVF Winter Conference on Applications of Computer Vision 2027 (WACV 2027), January 2027

    • Degree-Mass Message Passing for Betweenness Ranking in Directed and Undirected Networks

      Justin Dachille*, Aurora Rossi*, Sunil Kumar Maurya, Frederik Mallmann-Trenn, Xin Liu, Frédéric Giroire, Tsuyoshi Murata, Emanuele Natale (*equal contribution)

      Proceedings of the 35th ACM International Conference on Information and Knowledge Management (CIKM 2026), November 2026

    • Temporal-Aware Graph Attention for Sequential Knowledge Tracing

      Sunil Kumar Maurya, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 35th ACM International Conference on Information and Knowledge Management (CIKM 2026), November 2026