Papersby GlyphQwen3-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) · Retrieval and data · Jan 8, 2026 · 315 citations · 59 upvotes · unverified
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.
By Mingxin Li, Yanzhao Zhang, Dingkun Long and 9 more · arXiv 2601.04720 · PDF · Code
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
- Venue
- arXiv.org
- Citations
- 315, 62 influential · Semantic Scholar
- Upvotes
- 59 · Hugging Face
- Lab
- Alibaba (Qwen) · on Companies · on Quarterly
Changes
Citations rose from 299 to 315.
Influential citations rose from 55 to 62.
Citations rose from 269 to 299.
Influential citations rose from 53 to 55.
Citations rose from 255 to 269.
Influential citations rose from 48 to 53.
Citations rose from 233 to 255.
Citations rose from 231 to 233.
A first count of 48 influential citations.
A first count of 231 citations.
Found by the weekly Hugging Face scan; not yet checked by hand.