An Embarrassingly Simple Data Selection Strategy for Million-Scale Multi-Modal Instruction-Tuning.
arXiv:2503.13383v2 Announce Type: replace-cross Abstract: Recent research demonstrates that pretrained large language models (LLMs) require minimal but carefully curated data for instruction-tuning. Building on LLMs, multi-modal models further contend with far
arXiv cs.AIResearch source·