chaos-in-texts.github.io
chaos-in-texts.github.io is 📄 Paper/Project. It is ranked #2451 on the AI Radar, in AI research, first seen 18 days ago and shared in 1 post (1.6k views).
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What chaos-in-texts.github.io says about itself
Irrelevant text outranks relevant images. We reveal why, and fix it with Trident.
Chaos in the Text · Trident .github.io/ /static/images/og-image.png --> Chaos in the Text Revealing the Modality Preference in Mixed-Modality Retrievers Yubo Sun 1* Chunyi Peng 2* Yukun Yan 3†Zhenghao Liu 2†Zhipeng Xu 2 Sen Mei 3 Linlin Xin 1 Zheni Zeng 4 Maosong Sun 3 1 University of the Chinese Academy of Sciences 2 Northeastern University 3 Tsinghua University 4 Nanjing University * Equal contribution · †Corresponding author Paper Code 🤗 Trident-Qwen3VL-2B 🤗 Trident-Train 🤗 Trident-Eval Multimodal retrievers work well on pure-image or pure-text corpora — but real corpora mix both. We show that when modalities coexist, retrieval…
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chaos-in-texts.github.io in numbers
- Rank on the AI Radar: #2451 of 10412
- Shared in 1 post by 1 account: @OpenBMB
- 1.6k views on those posts
- First seen 18 days ago, last shared 18 days ago
- Pricing seen by AGK Intelligence: not stated
- Market: AI research
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📄 Paper/Project It was first shared on X 18 days ago and is ranked #2451 on the AI Radar.
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1 account on X, including @OpenBMB, in 1 post totalling 1.6k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.5k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:50 UTC. Full method.