Hyesu Lim
  • Home
  • Publications
  • Contact
  • CV
  • Writing
    • Welcome to My New Site
  • Publications
    • VisualScratchpad: Grounding Visual Concepts in Large Vision Language Models
    • ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
    • CytoSAE: Interpretable Cell Embeddings for Hematology
    • Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation
    • Towards Calibrated Robust Fine-Tuning of Vision-Language Models
    • TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
    • AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain

ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts

December 1, 2025·
Jinho Choi
,
Hyesu Lim
,
Steffen Schneider
,
Jaegul Choo
· 0 min read
PDF Code Project poster, slides & video
projects interpretability
Last updated on December 1, 2025
Dataset Bias Visual Concepts Interpretability
← VisualScratchpad: Grounding Visual Concepts in Large Vision Language Models April 1, 2026
CytoSAE: Interpretable Cell Embeddings for Hematology October 1, 2025 →

Made with Hugo Blox. Duplicate this template →