
Research
研究
研究業績
カテゴリー
研究領域
年
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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)
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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)
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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)
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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)
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Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
Qi Cao, Andrew Gambardella, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
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∞-MoE: Generalizing Mixture of Experts to Infinite Expert
Shota Takashiro, Takeshi Kojima, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
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JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models’ Detection of Human risky health behavior Content in Jirai Community
Yunze Xiao, Tingyu He, Lionel Z. WANG, Yiming Ma, Xingyu Song, Xiaohang Xu, Mona T. Diab, Irene Li, Ka Chung Ng
The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
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Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning
Jerry Huang, Peng Lu, QIUHAO Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li
The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
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Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
Atsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo.
The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
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Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
Masaki Sashida, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo.
The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)