AI
Do Not Copy/Paste: Soft Barriers for Copying in AI-Assisted Programming
Researchers propose a solution to the problem of copy-pasting model-generated code into software art...
AI
Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules
Researchers have developed a new framework called Mol-JEPA to improve molecular modeling. Current mo...
AI
Evaluating Inference-Time Defenses Against Package Hallucination in LLM-Generated Code
Researchers have identified a problem with Large Language Models (LLMs) that generate code: they oft...
AI
Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs
Researchers have developed a framework called Physical Agentic AI that enables robots to work togeth...
AI
Hyperbolic Hierarchical Clustering for Visual Representation Learning
Researchers have proposed a new approach to visual representation learning calle...
AI
RACO: Reliability-Aware Coarse-Goal Optimization for Inspection-Oriented UAV Vision-Language Navigation
Researchers from the University of [Unknown] have introduced a new framework cal...
AI
Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing
Researchers have proposed an alternative approach to discovering capabilities wi...
AI
TEE-X: TEE-aware Acceleration Framework for Large Vision Models at the Edge
Researchers have proposed a framework called TEE-X to enable large vision models...