Apple Workshop on Machine Learning for Health: Modeling Access to Healthcare in Disease Phenotyping
AuthorsDr. Irene Chen (University of California, Berkeley)
Apple Workshop on Machine Learning for Health: Modeling Access to Healthcare in Disease Phenotyping
AuthorsDr. Irene Chen (University of California, Berkeley)
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
August 3, 2026research area Computer Vision, research area Speech and Natural Language Processing
Preference alignment has become a crucial component in enhancing the performance of Large Language Models (LLMs), yet its impact in Multimodal Large Language Models (MLLMs) remains comparatively underexplored. Similar to language models, MLLMs for image understanding tasks encounter challenges like hallucination. In MLLMs, hallucination can occur not only by stating incorrect facts but also by producing responses that are inconsistent with the…
Dimensionality Reduction Meets Network Science: Sensemaking on UMAP’s kNN Graph
July 30, 2026research area Human-Computer Interaction, research area Methods and Algorithms
While UMAP is widely used for exploring high-dimensional data, typical workflows focus on its lower-dimensional embedding, largely overlooking the rich k-nearest-neighbor (kNN) graph that UMAP constructs internally. This graph encodes the data manifold in its original high-dimensional space, before the distortion that UMAP’s 2D projection introduces. We demonstrate the untapped potential of this internal representation, showing how standard graph…