AI
Vibe Coding and Web Application Security: A Twin-Prompt Study
Researchers from Vibe Coding studied whether explicitly requesting security best practices improves ...
AI
Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric
Researchers have developed a new AI model called SAraBERT for summarizing Arabic documents. The mode...
AI
Structured but Fragile: On the Limits of LLMs in Cybersecurity Decision-Making
Researchers studied whether large language models (LLMs) can perform structured security reasoning i...
AI
WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving
Researchers have developed WA-JEPA, a new approach to autonomous driving planning that improves upon...
AI
Jacobian-guided Noise Injection for Quantization Robustness in Large Language Models
Researchers have proposed a new method to improve the robustness of large langua...
AI
Target-Aware Calibration Data Selection for Preserving Uncertainty in Quantized Language Models
Researchers have developed a method called Doubt-Preserving Quantization (DPQ) t...
AI
Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge
Researchers have evaluated three lightweight language models (LLMs) - Claude-Hai...
AI
CoST: Semantic-Aware Urban Understanding via Spatial-Temporal Alignment
Researchers have developed a new framework called CoST to improve the analysis o...