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ychuest · Aug 31, 2024 · f72315e · f72315e
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@@ -55,7 +55,7 @@ Awesome-LLMs-meet-genomes is a collection of state-of-the-art, novel, exciting L
 | Year | Title                                                        |  Venue  |                            Paper                             |                             Code                             |
 | ---- | ------------------------------------------------------------ | :-----: | :----------------------------------------------------------: | :----------------------------------------------------------: |
 | 2024.08 | **Unlocking Efficiency: Adaptive Masking for Gene Transformer Models** |  ECAI'24    | [link](https://arxiv.org/pdf/2408.07180)  |                              [link](https://github.com/roysoumya/curriculum-GeneMask)                           |
-| 2024.07 💥💥| **VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling** |  ICML'24    | [link](https://arxiv.org/pdf/2405.10812)  |                              [link](https://github.com/Lupin1998/VQDNA)                           |
+| 2024.07 ✨✨| **VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling** |  ICML'24    | [link](https://arxiv.org/pdf/2405.10812)  |                              [link](https://github.com/Lupin1998/VQDNA)                           |
 | 2024.07 | **OmniGenome: Aligning RNA Sequences with Secondary Structures in Genomic Foundation Models** |  arXiv    | [link](https://arxiv.org/abs/2407.11242)  |                              [link](https://github.com/yangheng95/OmniGenomeBench)                           |
 | 2024.07 | **Scorpio : Enhancing Embeddings to Improve Downstream Analysis of DNA sequences** |  bioRxiv    | [link](https://www.biorxiv.org/content/10.1101/2024.07.19.604359v1.abstract)  |                              [link](https://github.com/EESI/Scorpio)                            |
 | 2024.07 | **DNA language model GROVER learns sequence context in the human genome (可用于蛋白质-DNA结合预测任务)** |   Nature Machine Intelligence    | [link](https://doi.org/10.1038/s42256-024-00872-0)  |                              [link](https://doi.org/10.5281/zenodo.8373202)   [tutorials](https://doi.org/10.5281/zenodo.8373158)                            |