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From Semantic Grounding to Decision Optimization: A Unified Framework for Long-Horizon UAV Vision-Language Navigation
The authors propose a unified framework to improve UAV vision-language navigation (UAV-VLN). This framework addresses three main issues: weak grounding of instruction-relevant landmarks, insufficient exploitation of…
Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment
Researchers propose a new reward system called VAORA to help vision-language models (VLMs) perform better in interactive physical reasoning tasks. The new system addresses two common issues: hallucinated…
Selective Disclosure Watermarking for Large Language Models
Researchers have proposed a new watermarking method for large language models (LLMs) that allows selective disclosure of embedded metadata. This means that the method can control which parts of the embedded message are…
Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity
The authors propose a multi-agent framework that uses semantic rewriting to enhance large language models in sensitive scenarios while preserving privacy and contextual fidelity. The framework was tested on two…
AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction
The paper presents the Android Open Harness Project (AOHP), an operating system level agent harness built on the Android Open Source Project. AOHP aims to treat AI agents as first-class OS actors, enabling adaptive…
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