Amid the benefits that algorithmic decision-making and artificial intelligence offer — including revolutionizing speed, efficiency, and predictive ability in a vast range…
What distinguishes robust models from non-robust ones? While for ImageNet distribution shifts it has been shown that such differences in robustness can…
Large Language Models (LLMs) based on Transformer architectures have revolutionized sequence modeling through their remarkable in-context learning capabilities and ability to scale…
Video understanding has long presented unique challenges for AI researchers. Unlike static images, videos involve intricate temporal dynamics and spatial-temporal reasoning, making…
The study of artificial intelligence has witnessed transformative developments in reasoning and understanding complex tasks. The most innovative developments are large language…
The growing reliance on AI models for edge and mobile devices has underscored significant challenges. Balancing computational efficiency, model size, and multilingual…
Agentic AI enables autonomous and collaborative problem-solving that mimics human cognition. By facilitating multi-agent cooperation with real-time communication, it holds promise across…