ConvApparel: Measuring and bridging the realism gap in user simulators
Generative AI
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Improving the academic workflow: Introducing two AI agents for better figures and peer review
Generative AI
Building better AI benchmarks: How many raters are enough?
Algorithms & Theory
TurboQuant: Redefining AI efficiency with extreme compression
Algorithms & Theory
Mapping the modern world: How S2Vec learns the language of our cities
Algorithms & Theory
Improving breast cancer screening workflows with machine learning
Health & Bioscience
Identifying Interactions at Scale for LLMs
Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and impacted humans, a step toward safer and more trustworthy AI. To gain a comprehensive understanding, we can analyze these systems through different lenses: feature attribution, which isolates the specific input features driving a prediction (Lundberg & Lee, 2017; Ribeiro et al., 2022); data attribution, which links model behaviors to influential training examples (Koh & Liang, 2017; Ilyas et al., 2022); and mechanistic interpretability, which dissects the functions of internal components (Conmy et al., 2023; Sharkey et al.
Protecting cities with AI-driven flash flood forecasting
Climate & Sustainability
Exploring the feasibility of conversational diagnostic AI in a real-world clinical study
Generative AI
WAXAL: A large-scale open resource for African language speech technology
Natural Language Processing
Where wild things roam: Identifying wildlife with SpeciesNet
Climate & Sustainability
Teaching AI to read a map
Machine Perception
Beyond one-on-one: Authoring, simulating, and testing dynamic human-AI group conversations
Human-Computer Interaction and Visualization
How AI trained on birds is surfacing underwater mysteries
Climate & Sustainability
Sequential Attention: Making AI models leaner and faster without sacrificing accuracy
Algorithms & Theory
Project Genie: Experimenting with infinite, interactive worlds
Google AI Ultra subscribers in the U.S. can try out Project Genie, an experimental research prototype that lets you create and explore worlds.