Evaluating the value of LLMs in patent-based technology intelligence
Toward increasing efficiency and reducing expert dependency
Bibliographic Data
| ID | 21403307 |
|---|---|
| Authors | Sanghyun Park (0000-0002-5196-6193, Seoul National University), Giyun Kim (Seoul National University), Sungjoo Lee (0000-0001-9361-3380, Seoul National University, corresponding author) |
| Year | 2026 |
| Volume | 222 |
| Pages | 124375 |
| Publication date | 2026-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2025.124375 |
| OpenAlex | W4415313070 |
| Language | EN |
| References cited | 59 |
Agile software development · Dependency (UML) · Domain (mathematical analysis) · Patent analysis · Scale (ratio) · Value (mathematics) · Innovation Policy and RD · Intellectual Property and Patents · Law, AI, and Intellectual Property
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| Highly cited | No |
|---|