"LLM Fine-Tuning: Concepts, Opportunities, and Challenges."

Xiaokun Wu et al. (2025)

> Home

Details and statistics

DOI: 10.3390/BDCC9040087

access: open

type: Journal Article

metadata version: 2025-10-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bdcc/WuCLWLLHHPMHHGCFLTNW25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bdcc/WuCLWLLHHPMHHGCFLTNW25
Xiaokun Wu, Min Chen, Wanyi Li, Rui Wang, Limeng Lu, Jia Liu, Kai Hwang, Yixue Hao, Yanru Pan, Qingguo Meng, Kaibin Huang, Long Hu, Mohsen Guizani, Naipeng Chao, Giancarlo Fortino, Fei Lin, Yonglin Tian, Dusit Niyato, Fei-Yue Wang:
LLM Fine-Tuning: Concepts, Opportunities, and Challenges. Big Data Cogn. Comput. 9(4): 87 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.