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  LENS is a model that produces **L**exicon-based **E**mbeddi**N**g**S** (LENS) leveraging large language models. Each dimension of the embeddings is designed to correspond to a token cluster where semantically similar tokens are grouped together. These embeddings have a similar feature size as dense embeddings, with LENS-d4000 offering 4000-dimensional representations.
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- The technical report of **LENS** are available in [Enhancing Lexicon-Based Text Embeddings with Large Language Models](https://arxiv.org/abs/2501.09749).
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  ## Usage
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  ```
 
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  LENS is a model that produces **L**exicon-based **E**mbeddi**N**g**S** (LENS) leveraging large language models. Each dimension of the embeddings is designed to correspond to a token cluster where semantically similar tokens are grouped together. These embeddings have a similar feature size as dense embeddings, with LENS-d4000 offering 4000-dimensional representations.
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+ The technical report of **LENS** is available in [Enhancing Lexicon-Based Text Embeddings with Large Language Models](https://arxiv.org/abs/2501.09749).
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  ## Usage
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  ```