Applications of large language models (LLMs) in research and writing
| Literature search & research design |
Writing assistance & quality assessment |
Citation & reference generation |
Code generation & data analysis |
|---|---|---|---|
| - Aid systematic reviews [21] - Create research protocols [22] - Perform bibliometric analysis [23] |
- Generate abstracts with minor errors [24,25] - Artificial intelligence-generated abstracts raise ethical concerns [19,26] - LLM writing quality varies [27-31] - Facilitate non-native English writing [33] - Fine-tuning LLMs for personalized assistance [35] |
- LLM reference accuracy varies (10%–87%) [36-39] - Retrieval-augmented generation crucial for reliability [40] |
- Produce code for data analysis [41] - Health economic modeling [42] - Data analysis using natural language interactions [43,44] |