4 papers
Scale, Drivers, and Limits of Representational Alignment Across Large Language Models
Jialin Wu, Meenakshi Khosla
Comparing large language models can reveal shared representational structure and systematic differences between them. However, aggregate similarity measures can obscure how agreeme…
Integrated representational signatures strengthen specificity in brains and models
Jialin Wu, Shreya Saha, Yiqing Bo +1
The extent to which different neural or artificial neural networks (models) rely on equivalent representations to support similar tasks remains a central question in neuroscience a…
Comparing and Integrating Different Notions of Representational Correspondence in Neural Systems
Jialin Wu, Shreya Saha, Yiqing Bo +1
The extent to which different biological and artificial neural systems rely on equivalent internal representations to support similar tasks remains a central question in neuroscien…
Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families
Jialin Wu, Shreya Saha, Yiqing Bo +1
Representational similarity metrics are fundamental tools in neuroscience and AI, yet we lack systematic comparisons of their discriminative power across model families. We introdu…