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LatentPress: Context Compression Beyond Text and Vision

Zhou, Zhengze et al.
arXiv (All) · Papers
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machine-learning
Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model. We introduce LatentPress, which writes conversational histories and long documents into a third representation: continuous memory tokens that a frozen
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