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@@ -41,7 +41,7 @@ Your star means a lot to us in developing this project! ⭐⭐⭐
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  ## 👀 Introduction
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- <img src="./docs//TokLIP.png" alt="TokLIP" style="zoom:50%;" />
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  - We introduce TokLIP, a visual tokenizer that enhances comprehension by **semanticizing** vector-quantized (VQ) tokens and **incorporating CLIP-level semantics** while enabling end-to-end multimodal autoregressive training with standard VQ tokens.
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  ## 👀 Introduction
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+ <img src="./TokLIP.png" alt="TokLIP" style="zoom:50%;" />
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  - We introduce TokLIP, a visual tokenizer that enhances comprehension by **semanticizing** vector-quantized (VQ) tokens and **incorporating CLIP-level semantics** while enabling end-to-end multimodal autoregressive training with standard VQ tokens.
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