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EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory

Hugging Face Daily Papers · 2026-06-19 Cached

EvoEmbedding is a dynamic embedding model that maintains a continuously updated latent memory to generate adaptive representations for long-context retrieval, outperforming larger specialist models and improving agentic workflows.

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