2 papers
cs.RO2025
A Comprehensive LLM-powered Framework for Driving Intelligence Evaluation
Shanhe You, Xuewen Luo, Xinhe Liang +3
Evaluation methods for autonomous driving are crucial for algorithm optimization. However, due to the complexity of driving intelligence, there is currently no comprehensive evalua…
cs.HC2025
Designing LLM-simulated Immersive Spaces to Enhance Autistic Children's Social Affordances Understanding
Yancheng Cao, Yangyang HE, Yonglin Chen +9
One of the key challenges faced by autistic children is understanding social affordances in complex environments, which further impacts their ability to respond appropriately to so…