3 papers
cs.CV2025
Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts
Zekun Wang, Sashank Varma
With the rapid improvement of machine learning (ML) models, cognitive scientists are increasingly asking about their alignment with how humans think. Here, we ask this question for…
cs.AI2024
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models
Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah +2
Vision Language Models (VLMs) have been successful at many chart comprehension tasks that require attending to both the images of charts and their accompanying textual descriptions…
cs.CL2024
Development of Cognitive Intelligence in Pre-trained Language Models
Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma
Recent studies show evidence for emergent cognitive abilities in Large Pre-trained Language Models (PLMs). The increasing cognitive alignment of these models has made them candidat…