7 papers
Concept-SAE: A Controllable and Invertible Concept Interface for Sparse Autoencoders
Jianrong Ding, Muxi Chen, Chenchen Zhao +1
Standard Sparse Autoencoders (SAEs) excel at discovering a dictionary of a model's learned features, providing a powerful lens for passive feature discovery. However, this passive…
FBCIR: Balancing Cross-Modal Focuses in Composed Image Retrieval
Chenchen Zhao, Jianhuan Zhuo, Muxi Chen +6
Composed image retrieval (CIR) requires multi-modal models to jointly reason over visual content and semantic modifications presented in text-image input pairs. While current CIR m…
\textit{FocaLogic}: Logic-Based Interpretation of Visual Model Decisions
Chenchen Zhao, Muxi Chen, Qiang Xu
Interpretability of modern visual models is crucial, particularly in high-stakes applications. However, existing interpretability methods typically suffer from either reliance on w…
Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations
Jinwei Chi, Ke Wang, Yu Chen +2
Automated essay scoring (AES) is a challenging task in cross-prompt settings due to the diversity of scoring criteria. While previous studies have focused on the output of large la…
FailureAtlas:Mapping the Failure Landscape of T2I Models via Active Exploration
Muxi Chen, Zhaohua Zhang, Chenchen Zhao +8
Static benchmarks have provided a valuable foundation for comparing Text-to-Image (T2I) models. However, their passive design offers limited diagnostic power, struggling to uncover…
MPCAR: Multi-Perspective Contextual Augmentation for Enhanced Visual Reasoning in Large Vision-Language Models
Amirul Rahman, Qiang Xu, Xueying Huang
Despite significant advancements, Large Vision-Language Models (LVLMs) continue to face challenges in complex visual reasoning tasks that demand deep contextual understanding, mult…