Open access
2026
Asking language models how to represent data for fine-tuning
It is shown that format choice remains important even after fine-tuning; models learn more efficiently with specific formats rather than adapting to any format; this finding allows format selection to be done via inference alone, avoiding costly trial-and-error fine-tuning runs.
Usneek Singh, Ananya Singha, Abhijeet Awasthi et al.
· Proceedings of the First Wor... · 0 citations