Research

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    Research Area

    Year

    • International Conferences
      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

    • International Conferences
      LLM / NLP

      In-Context Neurofeedback: Can Large Language Models 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

    • International Conferences
      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

    • International Conferences
      LLM / NLP

      Omanic: Toward a Step-by-Step 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

    • International Conferences
      LLM / NLP

      Batch-wise Adaptive Pruning: Periodic Neuron Activation-Aware Weight Pruning for Language Reasoning Models

      Yongmin Kim, Shota Takashiro, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 3rd Conference on Language Modeling (COLM 2026), October 2026

    • International Conferences
      LLM / NLP Medical AI

      JMedEthicBench: A Multi-Turn Adversarial Benchmark for Aligning Large Language Models with Japanese Medical Ethics

      [paper]

      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

    • International Conferences
      LLM / NLP

      AQA-TTRL: Self-Adaptation in Audio Question Answering with Test-Time Reinforcement Learning

      [paper]

      Haoyu Zhang, Jiaxian Guo, Dong Yang, Yusuke Iwasawa, Yutaka Matsuo

      Annual Conference of the International Speech Communication Association (Interspeech 2026), September 2026

    • Journals
      LLM / NLP Robotics

      LLM-Guided Adaptive Compensator: Bringing Adaptivity to Robotic Feedback Control with Large Language Models

      [paper]

      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

    • Journals
      AI Application LLM / NLP

      When Medical AI Fails Outside of English

      [paper]

      Irene Li, Hardy Kagimoto, Yusuke Iwasawa, Yutaka Matsuo, Ethan Goh

      BMJ Digital Health & AI, Vol. 2, No. 1, e000038, Editorial (Invited), 2026

    • International Conferences
      LLM / NLP

      EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models

      [paper]

      Irene Li, Ruihai Dong, Guillaume Salha-Galvan, Aonghus Lawlor, Dairui Liu, Lei Li

      Proceedings of the 19th ACM Conference on Recommender Systems (RecSys 2025), Extended Abstract, September 2025