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Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Jan 8, 2026 · Retrieval and data · 231 citations · 59 upvotes · unverified

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What it shows

The Qwen3-VL-Embedding and Qwen3-VL-Reranker models form an end-to-end multimodal search pipeline, leveraging multi-stage training and cross-attention mechanisms to achieve high-precision retrieval across diverse modalities.

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

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About this paper
Authors
Mingxin Li, Yanzhao Zhang, Dingkun Long and 9 more
arXiv
2601.04720 · PDF
Venue
arXiv.org
Citations
231, 48 influential · Semantic Scholar
Upvotes
59 · Hugging Face
Code
github.com/QwenLM/Qwen3-VL-Embedding
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 48Sep 25, 2026
Citationsfirst count: 231Sep 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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