V-Rubrics
V-Rubrics is 🌐 Project. It is ranked #7150 on the AI Radar, in AI research, first seen 32 days ago and shared in 1 post (1.3k views).
What V-Rubrics says about itself
Atomic visual rubrics for fine-grained credit assignment in multimodal post-training.
V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning Skip to content Visual Rubrics · Multimodal Post-Training V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning Shulin Tian 1,2,* Minglun Li 3,* Yuhao Dong 1,‡,* Hao Ding 3,* Jiarui Yao 4 Haiwen Diao 1 Jingkang Yang 1 Hongyuan Zhu 2 Ziwei Liu 1 1 S-Lab, Nanyang Technological University 2 A*STAR 3 Independent Researcher 4 UIUC * Equal Contributions · ‡ Project Lead shulin002@e.ntu.edu.sg Paper Code 🤗 HuggingFace Dataset BibTeX Fine-grained multimodal feedback Fluent answers can still be visually wrong. V-Rubrics turns each response into atomic checks for…
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V-Rubrics in numbers
- Rank on the AI Radar: #7150 of 10402
- Shared in 1 post by 1 account: @qingke_ai
- 1.3k views on those posts
- First seen 32 days ago, last shared 32 days ago
- Pricing seen by AGK Intelligence: not stated
- Market: AI research
FAQ
What is V-Rubrics?
🌐 Project It was first shared on X 32 days ago and is ranked #7150 on the AI Radar.
Is V-Rubrics free?
Pricing is not stated on the page we read.
Who shared V-Rubrics?
1 account on X, including @qingke_ai, in 1 post totalling 1.3k 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. 65.6k 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 15:10 UTC. Full method.