Toward Trustworthy Generative AI by Integrating Large Language Model with Knowledge Graph

Research Project

Project/Area Number	24K20834
Research Category	Grant-in-Aid for Early-Career Scientists
Allocation Type	Multi-year Fund
Review Section	Basic Section 61030:Intelligent informatics-related
Research Institution	Japan Advanced Institute of Science and Technology
Principal Investigator	K. Natthawut 北陸先端科学技術大学院大学, 先端科学技術研究科, 講師 (40818100)
Project Period (FY)	2024-04-01 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000) Fiscal Year 2026: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000) Fiscal Year 2025: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000) Fiscal Year 2024: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Keywords	Knowledge Graph / Large Language Model / Trustworthy AI / Generative AI / 自然言語処理
Outline of Research at the Start	This research studies the integration of KGs with LLMs to mitigate hallucinations, aiming to enhance the accuracy and trustworthiness of AI-generated content.