| Project/Area Number |
24KJ1442
|
|---|
| Research Category |
Grant-in-Aid for JSPS Fellows
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 国内 |
|---|
| Review Section |
Basic Section 61030:Intelligent informatics-related
|
|---|
| Research Institution | Kyoto University |
|---|
Principal Investigator |
Wan Zhen 京都大学, 情報学研究科, 特別研究員(DC2)
|
|---|
| Project Period (FY) |
2024-04-23 – 2026-03-31
|
| Project Status |
Granted (Fiscal Year 2024)
|
| Budget Amount *help |
¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2025: ¥300,000 (Direct Cost: ¥300,000)
Fiscal Year 2024: ¥1,200,000 (Direct Cost: ¥1,200,000)
|
|---|
| Outline of Research at the Start |
1. Based on existing LLMs such as LLaMa, we will train models that are experts in the domain of information extraction.
2. We will build multi-modal information extraction models to be better utilized in the real world.
|
