
Research
研究
研究業績
カテゴリー
研究領域
年
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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
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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
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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
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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
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FasTARFlow: Distilling Transformer-based Autoregressive Flows into Fast Inverse Autoregressive Models
Kai Yamashita, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo
Neurocomputing, 2026
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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
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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
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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
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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
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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