Research
研究
研究業績
カテゴリー
研究領域
年
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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
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Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning
Fan Gao, Sherry T. Tong, Jiwoong Sohn, Jiahao Huang, Junfeng Jiang, Ding Xia, Piyalitt Ittichaiwong, Kanyakorn Veerakanjana, Hyunjae Kim, Qingyu Chen, Edison Marrese Taylor, Kazuma Kobayashi, Akiko Aizawa, Irene Li
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main, Long, July 2026
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Understanding Emergent Misalignment via Feature Superposition Geometry
Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main, Long, July 2026
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EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models
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
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Mechanism of Task-oriented Information Removal in In-context Learning
Hakaze Cho, Haolin Yang, Gouki Minegishi, Naoya Inoue
International Conference on Learning Representations 2026 (ICLR2026), April 2026
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RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs
Kohsei Matsutani, Shota Takashiro, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
International Conference on Learning Representations 2026 (ICLR2026), April 2026
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Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients?
Ku Onoda, Paavo Parmas, Manato Yaguchi, Yutaka Matsuo
International Conference on Learning Representations 2026 (ICLR2026), April 2026
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learnin
Ru Wang, Wei Huang, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
International Conference on Learning Representations 2026 (ICLR2026), April 2026