Review
A Survey of Joint Online-Offline Fine-tuning for Large Language Models
This work advocates for Joint Online-Offline Fine-Tuning as a superior paradigm that breaks the convention of restricting offline data to SFT and online data to RFT, and provides the first comprehensive survey focusing specifically on the synchronization of data provenance.
Taihang Zhen, Guang Yang, Chenzhang Li et al.
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