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LLMs signal their internal certainty during answer decoding through predictable attention patterns on their own reasoning traces.
VLMs are surprisingly susceptible to jailbreak attacks using unmodified, natural images, achieving up to 90% success rate with a novel memory-augmented multi-agent framework.
Forget training separate models for every remote sensing modality pair: Any2Any learns a single latent space for unified translation, even generalizing to unseen modality combinations.
