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AEGIS blocks all malicious router attacks that exploit plaintext access, showcasing a robust defense against a growing threat in LLM interactions.
By integrating amplitude-phase factorization with bespoke implicit representations, FDF sets a new benchmark in screen content image super-resolution, outperforming existing methods.
A real-time generative world model can synthesize complex driving scenarios that traditional simulators struggle to capture, enabling safer and more effective evaluation of autonomous vehicle policies.
Text-to-image models can now generate megapixel images 6x faster and with better quality by replacing traditional decoders with a pixel diffusion-based upsampler.
LLM agents often say one thing, believe another, and do something completely different, especially when interacting with other agents.
Video diffusion models already contain implicit multi-view knowledge, making them surprisingly effective for novel view synthesis when adapted to ignore temporal coherence.
