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    • 国際会議
      LLM / NLP 応用研究

      Training-Free Residual-Guided Retrieval for Multi-hop KGQA with Single-Step LLM Inference

      Keito Sei, Sunil Kumar Maurya, Yohei Kobashi, Yutaka Matsuo

      Proceedings of the 5th Asia-Pacific Chapter of the Association for Computational Linguistics and the 15th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2026), Main, November 2026

    • 国際会議
      LLM / NLP

      From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs

      Yingjian Chen, Haoran Liu, Yinhong Liu, Sherry T. Tong, Aosong Feng, Jinghui Lu, Juntao Zhang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li

      Proceedings of the 5th Asia-Pacific Chapter of the Association for Computational Linguistics and the 15th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2026), Findings, November 2026

    • 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

    • 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

    • 国際会議
      強化学習 生成モデル

      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

    • 国際会議
      応用研究

      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