Researchers have developed WA-JEPA, a new approach to autonomous driving planning that improves upon the existing Video Joint Embedding Predictive Arc...
Researchers have proposed a new method to improve the robustness of large language models when they are quantized, or converted into lower-precision f...
Researchers have developed a method called Doubt-Preserving Quantization (DPQ) to preserve uncertainty in language models when they are quantized for ...
Researchers have evaluated three lightweight language models (LLMs) - Claude-Haiku-4.5, GPT-5.4-Mini, and Gemini-3.1-Flash-Lite - for their ability to...
Researchers have developed a new framework called CoST to improve the analysis of urban areas using satellite imagery. The method, presented in a pape...
Researchers propose $Z^2$-ACT, a system for verifiable agentic intent control in open 6G radio access networks. The system integrates four primitives ...
Researchers propose CoAnchor, an anchor-centric framework for collaborative perception in autonomous vehicles. This approach addresses the challenges ...
Researchers have developed a new AI model called AT-ViT for recognizing plant traits in images of herbarium specimens. The model uses a combination of...
Researchers have developed TracingFlow, a new framework for inferring the trajectory of complex systems from sparse data. Unlike existing methods that...
Researchers have developed PromptResponse, a study on optimizing prompts for large language models (LLMs) used in coding tasks. They found that consis...
Researchers have proposed an Evaluation Agent to detect misinformation and knowledge poisoning in Generative AI systems. The agent uses a combination ...
Researchers propose a new approach to multi-modal object detection called A2DINOv3. This method combines data from different sources, such as RGB and ...