2 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
Medical AI Encodes a "Feeling of Error": Verifying Cancer Segmentation via Internal Concepts
Mengmeng Ma, Yunxiang Peng, Tang Li +4
Cancer segmentation models can fail silently, generating plausible but incorrect masks that risk missed findings or unnecessary biopsies. A critical question arises: Do AI models "…
Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers
Tang Li, Yanlin Chen, Mengmeng Ma +1
Despite high accuracy, Vision Transformer (ViT) predictions can be driven by spurious cues, raising the need to understand their inner workings before safe deployment. Sparse autoe…
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey
Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis +1
A major obstacle to the advancements of machine learning models in marine science, particularly in sonar imagery analysis, is the scarcity of AI-ready datasets. While there have be…
DEAL: Disentangle and Localize Concept-level Explanations for VLMs
Tang Li, Mengmeng Ma, Xi Peng
Large pre-trained Vision-Language Models (VLMs) have become ubiquitous foundational components of other models and downstream tasks. Although powerful, our empirical results reveal…