Principal Researcher, A*STAR Centre for Frontier AI Research
3 papers at NeurIPS 2025
A novel visual token pruning method that jointly maximizes both the saliency and coverage of the selected visual tokens to better preserve semantic completeness.
We propose RepBlend, a multimodal dataset distillation framework that mitigates modality collapse via representation blending and symmetric projection matching, achieving superior performance and generalization.
