Why Win Rate Should Be the Guiding Principle in Preference LearningCDS’ Lily H. Zhang and Rajesh Ranganath show why win rate should be the standard for evaluating models trained on preference data.13h ago13h ago
Seeing the Unseeable: How AI Reveals Atomic-Level Dynamics in NanoparticlesA new AI technique lets scientists watch atoms move in real time, revealing previously unseen surface dynamics.2d ago2d ago
AI Isn’t Always Helpful — and Researchers Have Found a Way to Know WhenCDS Faculty Fellow Umang Bhatt and visiting researcher Valerie Chen present MODISTE, a system that learns when a user benefits from AI…Apr 18Apr 18
Training Transformers: Formal Languages as the Key to Efficient LearningPretraining transformers on formal languages improves learning efficiency and boosts generalization in syntax tasks.Apr 17Apr 17
Neural Compression Advantages Diminish as Image Size IncreasesResearch from CDS’ Jingtong Su and colleagues: Neural network-based image compression loses its advantage as image size increases.Apr 11Apr 11
What is a Goal? Advancing Machine Agency While Understanding Human Goal CreationNew CDS research models how people understand and formulate goals — knowledge that could improve AI alignmentApr 10Apr 10
AI Model Discovers New Lung Cancer Subtype Associated with Poor SurvivalCANVAS, an AI framework developed by CDS researchers and others, has identified a new lung cancer subtype associated with poor survival.Apr 4Apr 4
Making the Invisible Visible: New Method Reveals How Language Models Encode ConceptsA new technique makes language model biases visible by translating representation-level interventions into natural language text.Apr 2Apr 2
New CDS Admissions Ambassadors Bring a Range of Perspectives to the MS in Data Science ProgramSix CDS Admissions Ambassadors share what it’s really like to be in the MS in Data Science program.Mar 28Mar 28
The ImageNet Moment for Physics Simulation: CDS Researcher Leads Creation of “The Well”CDS Senior Research Scientist Shirley Ho has led the creation of The Well, a 15TB dataset designed to advance physics-based machine…Mar 26Mar 26