2 papers
cs.CV2026
BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving
George Ling, Lijin Yang, Hao Yang +1
We present BLUE, a minimal method for better language use in vision-language-action (VLA) models for autonomous driving (AD). Through extensive analysis, we reveal that language ma…
cs.SE2026
Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
George Ling, Shanshan Zhong, Richard Huang
Agent skills extend large language model (LLM) agents with reusable, program-like modules that define triggering conditions, procedural logic, and tool interactions. As these skill…