most citedData-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior

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cs.CV2026

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models

Dasol Choi, Jihwan Lee, Minjae Lee +1

While prior research on text-to-image generation has predominantly focused on biases in human depictions, demographic bias in generated objects remains relatively underexplored. We…

cs.CV2026

PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

Minjae Lee, Sungwoo Hur, Soojin Hwang +1

Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced broad use of image segmentation. However, SAM and its variants necessitate subs…