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

๐Ÿ“„ Trending Paper (17โฌ†๏ธ): Existing embedding models are inherently static: they encode text segments in isolation, ignoring their surrounding context and temporal order. This paper introduces EvoEmbedding, a novel embedding model that generates evolvable representations for retrieval. It is tailored for long-context scenario...

Source: HuggingFace_Papers

What it does

๐Ÿ“„ Trending Paper (17โฌ†๏ธ): Existing embedding models are inherently static: they encode text segments in isolation, ignoring their surrounding context and temporal order. This paper introduces EvoEmbedding, a novel embedding model that generates evolvable representations for retrieval. It is tailored for long-context scenario...

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