
Members
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Team directorKentaro Inui
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Deputy team directorBenjamin Heinzerling
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Research scientistKeisuke Sakaguchi
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Special postdoctoral researcherKai Nakaishi
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Special postdoctoral researcherYufeng Zhao
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Postdoctoral researcherAna Brassard
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Postdoctoral researcherJungmin Choi
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Postdoctoral researcherBin Wu
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Postdoctoral researcherYing Zhang
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Technical staff IYoriko Isobe
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Technical staff IMayumi Sugawara
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Technical staff IKenshi Yamaguchi
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Visiting scientistKoiti Hasida
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Visiting scientistJun Suzuki
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Visiting scientistHiroki Ouchi
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Visiting scientistRyo Nagata
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Visiting scientistTatsuya Hiraoka
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Visiting scientistZhun Sun
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Visiting scientistSakrianiwatiasri Sakti
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Visiting scientistNaoya Inoue
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Visiting scientistYuichiro Matsubayashi
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Visiting scientistReina Akama
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Visiting scientistChihiro Nakagawa
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Visiting scientistYutaka Ishii
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Visiting scientistItsumi Saito
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Visiting scientistRyoko Tokuhisa
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Visiting scientistAyana Niwa
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Visiting scientistHilal Alquabeh
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Visiting scientistSaori Kubo
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Research fellowMunachiso Nwadike
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Student traineeNurdaulet Mukhituly
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Student traineeNhi Doan
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Student traineeMuhammadcendekia Airlangga
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Part-time worker IHiroaki Funayama
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Part-time worker IYuya Asazuma
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Part-time worker IWenzhi Wang
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Part-time worker IMasaki Sakata
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Part-time worker ISteven Coyne
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Part-time worker IYoichi Aoki
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Part-time worker IKazuma Kokuta
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Part-time worker IKeito Kudo
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Part-time worker IMomoka Furuhashi
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Part-time worker IYoichi Takahashi
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Part-time worker IIPureumae Lee
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Part-time worker IITomotaka Kubota
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Part-time worker IINao Kuroyanagi
Introduction
We conduct research on core technologies for interpretable and trustworthy natural language processing. Going beyond the mechanistic interpretation of existing large language models, we aim to create new model architectures that combine high levels of language understanding and usability with mechanistic guarantees and explanations at different levels of abstraction for users with different needs, from non-technical end users to domain experts, engineers, and research scientists. Through both fundamental and applied research, and in close collaboration with industry partners in educational AI, we seek to extend the frontier of language processing toward systems that are powerful, transparent, reliable, and grounded in scientific understanding.
Introduction Video
Poster(s)
- FY2025 Research Results(PDF 2MB)
- FY2024 Research Results(PDF 3MB)
- FY2023 Research Results(PDF 4MB) (Japanese version)
- FY2022 Research Results(PDF 1.58MB)(Japanese version)
- FY2021 Research Results(PDF 2.10MB)(Japanese version)
- FY2019 Research Results(PDF 2.77MB) (Japanese version)
- FY2018 Research Results(PDF 3.11MB) (Japanese version)


