AI
Act with Intent: Distilling Behavior Intent for Vision-Language-Action Models
Researchers propose Intention Distillation (INDI), a method to improve Vision-Language-Action models...
AI
When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World
Researchers have created a benchmark called MHER to help computers accurately identify individuals f...
AI
The Measurement Revolution? Credible Measurement and Inference in the Age of AI
A new review argues that artificial intelligence (AI) has transformed measurement in economics by ma...
AI
Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition
Researchers have developed a method for detecting malicious packets that can adapt to new threats wi...
AI
The Interaction Tax: When Communication Erases Diversity in Multi-Agent Teams
Researchers have identified a phenomenon called the 'interaction tax' where mult...
AI
ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings
Researchers have introduced ConvergeFlow, a new type of continuous diffusion and...
AI
Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
A new AI model called Phy-BP is proposed for non-invasive blood pressure monitor...
AI
EG-ARSA: An Expert-Grounded Open Model for Visual Road Safety Auditing in Low-Resource Settings
Researchers have developed a new AI model called EG-ARSA to help improve road sa...