activity
20242026
collaborators

14 papers

cs.CE2026

ARIES-Mission2: A Zero-Shot Vision-Language-Action Framework for Fast Large-Scale Aerial Mission Generation

Junhao Wei, Yanxiao Li, Haochen Li +8

Multimodal Large Language Models (MLLMs) have shown strong semantic understanding capabilities, but their direct use in low-altitude Unmanned Aerial Vehicle (UAV) mission generatio…

cs.CV2026

HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing

Ruyi Chen, Lu Zhou, Xiaogang Xu +3

Text-to-Image (T2I) models have made significant strides in visual realism and semantic consistency, yet they often perpetuate and amplify societal biases. Existing evaluation meth…

cs.CR2026

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

Chiyu Zhang, Huiqin Yang, Bendong Jiang +8

The rapid proliferation of LLM-based autonomous agents in real operating system environments introduces a new category of safety risk beyond content safety: behavior jailbreak, whe…

cs.CV2026

Restoration-Oriented Video Frame Interpolation with Region-Distinguishable Priors from SAM

Yan Han, Xiaogang Xu, Yingqi Lin +3

In existing restoration-oriented Video Frame Interpolation (VFI) approaches, the motion estimation between neighboring frames plays a crucial role. However, the estimation accuracy…

cs.CR2026

From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents

Xiaolei Zhang, Lu Zhou, Xiaogang Xu +5

Artificial Intelligence (AI) agents have evolved from passive predictive tools into active entities capable of autonomous decision-making and environmental interaction, driven by t…

cs.AI2026

Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs

Yiran Zhao, Lu Zhou, Xiaogang Xu +3

As artificial intelligence (AI) is increasingly deployed across domains, ensuring fairness has become a core challenge. However, the field faces a "Tower of Babel'' dilemma: fairne…