
Research
研究
研究業績
カテゴリー
研究領域
年
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大規模画像言語モデルにおける事実性バイアスの体系的な分析
冨山翔司、山下佳威、 鈴木雅大、 落合桂一、松尾豊
情報処理学会論文誌
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サマリレベルでの画像の利用法を用いたマルチモーダル翻訳手法の提案
冨山翔司, 味曽野雅史, 鈴木雅大, 落合桂一, 岩澤有祐, 松尾豊
知能と情報
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Dynamic Injection of Entity Knowledge into Dense Retrievers
Ikuya Yamada, Ryokan Ri, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Empirical Methods in Natural Language Processing(EMNLP 2025)_Findings
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When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
Keno Harada, Yudai Yamazaki, Masachika Taniguchi, Edison Marrese-Taylor, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Empirical Methods in Natural Language Processing(EMNLP 2025)_Findings
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ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
Zhao Xinjie, Fan Gao, Xingyu Song, Yingjian Chen, Rui Yang, Yanran Fu, Yuyang Wang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li
Empirical Methods in Natural Language Processing(EMNLP 2025)_Main
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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
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HealthGenie: An Interactive Knowledge-Driven LLM Framework for Tailored 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)
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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)
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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)