
Research
研究
研究業績
カテゴリー
研究領域
年
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Batch-wise Adaptive Pruning: Periodic Neuron Activation-Aware Weight Pruning for Language Reasoning Model
Yongmin Kim, Shota Takashiro, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Proceedings of the 3rd Conference on Language Modeling (COLM 2026), October 2026
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JMedEthicBench: A Multi-Turn Adversarial Benchmark for Japanese Medical Ethics Alignment in LLMs
Junyu Liu, Zirui Li, Qian Niu, Zequn Zhang, Yue Xun, Wenlong Hou, Shujun Wang, Yusuke Iwasawa, Yutaka Matsuo, Kan Hatakeyama-Sato
Proceedings of the 3rd Conference on Language Modeling (COLM 2026), October 2026
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AQA-TTRL: Self-Adaptation in Audio Question Answering with Test-Time Reinforcement Learning
Haoyu Zhang, Jiaxian Guo, Dong Yang, Yusuke Iwasawa, Yutaka Matsuo
Annual Conference of the International Speech Communication Association (Interspeech 2026), September 2026
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LLM-guided Adaptive Compensator: Bringing Adaptivity to Robotic Feedback Control with Large Language Model
Zhongchao Zhou, Yuxi Lu, Yaonan Zhu, Yifei Zhao, Qian Niu, Bin He, Liang He, Wenwei Yu, Yusuke Iwasawa
IEEE Transactions on Automation Science and Engineering (T-ASE), 2026
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When medical AI fails outside English
Irene Li, Hardy Kagimoto, Yusuke Iwasawa, Yutaka Matsuo, Ethan Goh
BMJ Digital Health & AI, Vol. 2, No. 1, e000038, Editorial (Invited), 2026
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Steering at the Source: Style Modulation Heads for Robust Persona Control
Yoshihiro Izawa, Gouki Minegishi, Koshi Eguchi, Sosuke Hosokawa, Kenjiro Taura
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026
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Emergent Analogical Reasoning in Transformers
Gouki Minegishi, Jingyuan Feng, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), Spotlight, July 2026
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Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise
Keno Harada, Lui Yoshida, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Proceedings of the 30th Conference on Computational Natural Language Learning (CoNLL 2026), July 2026
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Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models
Qi Cao, Takeshi Kojima, Andrew Gambardella, Helinyi Peng, Yutaka Matsuo, Yusuke Iwasawa
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Findings, July 2026
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Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
Sunil Kumar Maurya, Xin Liu
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main, Long, July 2026