Is Human-Readable Text Necessary for Effective LLM Fine-Tuning?

Exploring if machine-optimized synthetic data can outperform human-readable text in LLM adaptation.

Is human readability necessary for effective fine-tuning of large language models? We investigate whether model-conditioned training representations can preserve or improve adaptation utility without requiring a human-readable textual form. We propose Desired-Update-Aligned Synth...

ArXiv CS.AI2026-09-30