• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Li Zihui  Li Zihui

ORCIDConnect your ORCID iD *help
Researcher Number 40972641
Other IDs
Affiliation (Current) 2026: 東京大学, 大学院工学系研究科(工学部), 特任講師
Affiliation (based on the past Project Information) *help 2024: 東京大学, 情報基盤センター, 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 61030:Intelligent informatics-related
Keywords
Principal Investigator
medical text / NLP / Question Answering / Medical NLP / LLM
  • Research Projects

    (1 results)
  • Research Products

    (2 results)
  •  Enhancing Factuality in Medical QA: Integrating Structured Knowledge Bases with Large Language ModelsPrincipal Investigator

    • Principal Investigator
      Li Zihui
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      The University of Tokyo

All 2024

All Journal Article

  • [Journal Article] RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models2024

    • Author(s)
      Liu Dairui、Yang Boming、Du Honghui、Greene Derek、Hurley Neil、Lawlor Aonghus、Dong Ruihai、Li Irene
    • Journal Title

      CIKM

      Volume: 1 Pages: 3902-3906

    • DOI

      10.1145/3627673.3679987

    • Data Source
      KAKENHI-PROJECT-24K20832
  • [Journal Article] Ascle-A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study2024

    • Author(s)
      Yang Rui、Zeng Qingcheng、You Keen、Qiao Yujie、Huang Lucas、Hsieh Chia-Chun、Rosand Benjamin、Goldwasser Jeremy、Dave Amisha、Keenan Tiarnan、Ke Yuhe、Hong Chuan、Liu Nan、Chew Emily、Radev Dragomir、Lu Zhiyong、Xu Hua、Chen Qingyu、Li Irene
    • Journal Title

      Journal of Medical Internet Research

      Volume: 26 Pages: e60601-e60601

    • DOI

      10.2196/60601

    • Data Source
      KAKENHI-PROJECT-24K20832

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi