CyberProvenance is proposed, an agent cyber harness designed for multi-agents that augments LLM agents with evidence accumulation, execution-based validation, and feedback-guided refinement mechanisms for reliable attack-chain provenance.
Qi Chen, Fu-Shuo Huo, Hang-Li Shen et al.· 0 citations
Vision-language-action (VLA) models often treat main-view and wrist-view observations as parallel visual inputs, overlooking their distinct roles in robot manipulation. Fine-grained manipulation, however, benefits from anticipating how wrist-local interactions may evolve under the global task context. To address this l...
Yuhao Pan, Haosong Peng, Zhengsheng Zhang et al.· 0 citations
The Unified Embodied Seeking and Following Benchmark (UESF-Bench) is introduced, a large-scale and diverse benchmark for embodied human seeking and following that requires agents to handle semantic-guided exploration, reliable behavior switching and recovery, and delayed identity grounding.
Kun Yu, Jianhua Yang, Yixiang Chen et al.· arXiv.org· 0 citations
This work proposes Progressively Disentangled and Recurrent Prompt Tuning (PDRPT), an edge-efficient framework that decouples object and state updates before joint refinement, suppresses traction force from highly-entangled prompts, and preserves alignment with the natural language space of CLIP.
Xiaocheng Lu, Chuan He, Ziming Liu et al.· 0 citations
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