2 papers
cs.CL2025
Say One Thing, Do Another? Diagnosing Reasoning-Execution Gaps in VLM-Powered Mobile-Use Agents
Lingzhong Dong, Ziqi Zhou, Shuaibo Yang +6
Mobile-use agents powered by vision-language models (VLMs) have shown great potential in interpreting natural language instructions and generating corresponding actions based on mo…
cs.AI2024
Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models
Ziqi Zhou, Jingyue Zhang, Jingyuan Zhang +4
One of the key challenges in current Reinforcement Learning (RL)-based Automated Driving (AD) agents is achieving flexible, precise, and human-like behavior cost-effectively. This…