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E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker research paper by Alibaba (Qwen), 2025

Alibaba (Qwen) · Oct 26, 2025 · Inference and efficiency · 3 citations · 33 upvotes · unverified

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What it shows

A unified framework extends a single text embedding model to perform both retrieval and listwise reranking, achieving state-of-the-art results with low latency.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Qi Liu, Yanzhao Zhang, Mingxin Li and 3 more
arXiv
2510.22733 · PDF
Citations
3, 1 influential · Semantic Scholar
Upvotes
33 · Hugging Face
Code
github.com/Alibaba-NLP/E2Rank
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 3Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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