Yuming Qiao

Vision-language models (VLMs) are increasingly adopted as judges for subjective assessment, yet absolute scoring remains brittle due to inconsistent scales and inherent preference biases. To bridge this gap, we propose \text{S}^2\text{AD} ( Semantic-Anchored Scale-Agnostic Distillation ), a novel...