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    • 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

    • 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

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

      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

    • 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

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

      Kai Yamashita, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

      Neurocomputing, 2026

    • 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

    • 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