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<div align="center">
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<h1>E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker</h1>
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<!-- **Authors:** -->
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<div class="is-size-5 publication-authors">
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<a href="https://liuqi6777.github.io">Qi Liu</a><sup>1,2</sup>,</span>
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<span class="author-block">
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Yanzhao Zhang<sup>2</sup>,</span>
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<span class="author-block">
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Mingxin Li<sup>2</sup>,
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</span>
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<span class="author-block">
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Dingkun Long<sup>2</sup>,
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</span>
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<span class="author-block">
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Pengjun Xie<sup>2</sup>,
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</span>
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<span class="author-block">
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Jiaxin Mao<sup>1</sup>
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</span>
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<!-- **Affiliations:** -->
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<div class="is-size-5 publication-authors">
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<span><sup>1</sup><i>GSAI, Renmin University of China,</i></span>
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<span><sup>2</sup><i>Tongyi Lab, Alibaba Group</i></span>
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</div>
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<a href="https://Alibaba-NLP.github.io/E2Rank/">π€ Website</a> |
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<a href="https://arxiv.org/pdf/2510.00000">π Arxiv Paper</a> |
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<a href="https://huggingface.co/collections/Alibaba-NLP/e2rank">π€ Huggingface Collection</a> |
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<div align="center">
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<h1>E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker</h1>
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<a href="https://Alibaba-NLP.github.io/E2Rank/">π€ Website</a> |
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<a href="https://arxiv.org/pdf/2510.00000">π Arxiv Paper</a> |
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<a href="https://huggingface.co/collections/Alibaba-NLP/e2rank">π€ Huggingface Collection</a> |
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