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By explicitly modeling signal processing constraints, ZoomSpec achieves state-of-the-art wideband spectrum sensing, outperforming existing deep learning methods that treat spectrograms as natural images.
Steer clear of catastrophic forgetting in VLMs with EvoPrompt, a new method that evolves prompts by preserving learned semantic directions while adapting their magnitude.
LLMs can guide the generation of realistic crystal structures by first producing natural language descriptions of unit cell layouts, which are then translated into atomic coordinates by a flow model.
