Research
Publications
Category
Research Area
Year
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MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li
Empirical Methods in Natural Language Processing (EMNLP 2025), Main, November 2025
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HealthGenie: A Knowledge-Driven LLM Framework forTailored Dietary Guidance
Fan Gao, Xinjie Zhao, Ding Xia, Zhongyi Zhou, Rui Yang, Jinghui Lu, Hang Jiang, Chanjun Park and Irene Li
Conference on Information and Knowledge Management (CIKM 2025), October 2025
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AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, Mónica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park and Irene Li
Conference on Information and Knowledge Management (CIKM 2025), October 2025
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The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities
Manato Yaguchi*, Kotaro Sakamoto*, Ryosuke Sakamoto*, Masato Tanabe*, Masatomo Akagawa*, Yusuke Hayashi*, Masahiro Suzuki, Yutaka Matsuo (*Equal Contribution)
Transactions on Machine Learning Research (TMLR), 2025
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CityNav: A Large-Scale Dataset for Real-World Aerial Navigation
Jungdae Lee*, Taiki Miyanishi*, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue (* denotes equally contributed)
International Conference on Computer Vision (ICCV 2025)
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GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields
Shunsuke Yasuki, Taiki Miyanishi, Nakamasa Inoue, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Masato Taki, Yutaka Matsuo
International Conference on Computer Vision (ICCV 2025)
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Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models
Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim
Transactions on Machine Learning Research (TMLR)
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Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning
Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
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GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
Yingjian Chen, Haoran Liu, Yinhong Liu, Rui Yang, Han Yuan, Yanran Fu, Pengyuan Zhou, Qingyu Chen, James Caverlee, Irene Li
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
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Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)