Efficient Data Selection for Multimodal Models via Incremental Optimization Utility
arXiv:2605.07488v1 Announce Type: new
Abstract: The scaling of Large Multimodal Models (LMMs) is constrained by the quality-quantity trade-off inherent in synthetic data. Previous approaches, such as LLM-as-a-Judge, have proven their effectiveness in …