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    •  “KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques”

      Edison Marrese-Taylor

      Proceeding of the 62nd Annual Meeting of the Association for Computer Linguistics (ACL2024)

    •  “Improving Low-resource Asian Machine Translation using Bilingual Lexical Resources”

      Francis Zheng, Edison Marrese-Taylor

      Proceeding of the 62nd Annual Meeting of the Association for Computer Linguistics (ACL2024).

    • On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons.”

      Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo

      The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2024)

    • Media Bias Detection Across Families of Language Models

      Iffat Maab, Edison Marrese-Taylor, Yutaka Matsuo

      The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2024)

    • Annotations for Exploring Food Tweets From Multiple Aspects

      Matiss Rikters, Edison Marrese-Taylor, Rinalds Viksna

      The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

    • A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks

      Haruo Hosoya

      International Conference on Learning Representations 2024 (ICLR2024)

    •  “A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis“

      Izzenddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust

      International Conference on Learning Representations (ICLR2024)

    • “Multimodal Web Navigation with Instruction-Finetuned Foundation Models“

      Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzenddin Gur

      International Conference on Learning Representations (ICLR2024)

    • “Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery”

      Mimo Shirasaka, Tatsuya Matsushima, Soshi Tsunashima, Yuya Ikeda, Aoi Horo, So Ikoma, Chikaha Tsuji, Hikaru Wada, Tsunekazu Omija, Dai Komukai, Yutaka Matsuo, Yusuke Iwasawa.

      2024 IEEE International Conference on Robotics and Automation (ICRA2024)

    • “GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy

      So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa

      2024 IEEE International Conference on Robotics and Automation (ICRA2024)