3 papers
cs.RO2025
UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents
Jianqiang Xiao, Yuexuan Sun, Yixin Shao +6
Aerial navigation is a fundamental yet underexplored capability in embodied intelligence, enabling agents to operate in large-scale, unstructured environments where traditional nav…
cs.AI2025
LLM4Rail: An LLM-Augmented Railway Service Consulting Platform
Zhuo Li, Xianghuai Deng, Chiwei Feng +7
Large language models (LLMs) have significantly reshaped different walks of business. To meet the increasing demands for individualized railway service, we develop LLM4Rail - a nov…
cs.AI2025
SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents
Jonathan Kutasov, Yuqi Sun, Paul Colognese +9
As Large Language Models (LLMs) are increasingly deployed as autonomous agents in complex and long horizon settings, it is critical to evaluate their ability to sabotage users by p…