Ruonan Yu

7

Papers

42

Total Citations

Papers (7)

VeriThinker: Learning to Verify Makes Reasoning Model Efficient

NeurIPS 2025arXiv

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching

Ultra-Resolution Adaptation with Ease

Heavy Labels Out! Dataset Distillation with Label Space Lightening

Distilled Datamodel with Reverse Gradient Matching

UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation

Mutual-Modality Adversarial Attack with Semantic Perturbation