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## 🗞️ Update
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-**`2025-03-24`**: 🔥 We release the [findings](https://om-ai-lab.github.io/2025_03_24.html) of VLM-R1-OVD.
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-**`2025-03-23`**: 🔥 We release the VLM-R1-OVD [model weights](https://huggingface.co/omlab/VLM-R1-Qwen2.5VL-3B-OVD-0321) and [demo](https://huggingface.co/spaces/omlab/VLM-R1-OVD), which shows the state-of-the-art performance on OVDEval. Welcome to use it.
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-**`2025-03-20`**: 🔥 We achieved SOTA results on [OVDEval](https://github.com/om-ai-lab/OVDEval) with our RL-based model, outperforming SFT baselines and specialized object detection models. Read our [blog post](https://om-ai-lab.github.io/2025_03_20.html) for details on how reinforcement learning enhances object detection performance.
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-**`2025-03-17`**: Our VLM-R1 Math model reaches the top of the [Open-Compass Math Leaderboard](https://rank.opencompass.org.cn/leaderboard-multimodal-reasoning/?m=REALTIME) (under 4B parameters). We have released the [checkpoint](https://huggingface.co/omlab/VLM-R1-Qwen2.5VL-3B-Math-0305).
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