Update paper link in model card

README.md

@@ -1,26 +1,27 @@
 ---
-library_name: transformers
-tags:
-- Diffusion_Multimodal_Large_Language_Model
-- MLLM
-- Discrete_Diffusion
-license: apache-2.0
+base_model:
+- Dream-org/Dream-v0-Instruct-7B
 datasets:
 - liuhaotian/LLaVA-CC3M-Pretrain-595K
 - lmms-lab/LLaVA-NeXT-Data
 language:
 - en
+library_name: transformers
+license: apache-2.0
 metrics:
 - accuracy
-base_model:
-- Dream-org/Dream-v0-Instruct-7B
 pipeline_tag: image-text-to-text
+tags:
+- Diffusion_Multimodal_Large_Language_Model
+- MLLM
+- Discrete_Diffusion
 ---
+
 <img src="https://cdn-uploads.huggingface.co/production/uploads/635364b3c41f548fe39db945/T6ffjtAkFkI76QjXmN6iR.png" alt="Dimple" style="width:100%;"/>
 
 
 <p align="center">
-🤗 <a href="https://huggingface.co/rp-yu/Dimple-7B">Model</a>&nbsp&nbsp | &nbsp&nbsp 💬 <a href="https://huggingface.co/spaces/rp-yu/Dimple-7B">Demo: Chat with Dimple</a>&nbsp&nbsp | &nbsp&nbsp📑 <a href="https://arxiv.org/abs/">Paper</a>&nbsp&nbsp | &nbsp&nbsp ✨ <a href="https://github.com/yu-rp/Dimple">Code</a>&nbsp&nbsp
+🤗 <a href="https://huggingface.co/rp-yu/Dimple-7B">Model</a>&nbsp&nbsp | &nbsp&nbsp 💬 <a href="https://huggingface.co/spaces/rp-yu/Dimple-7B">Demo: Chat with Dimple</a>&nbsp&nbsp | &nbsp&nbsp📑 <a href="https://huggingface.co/papers/2505.16990">Paper</a>&nbsp&nbsp | &nbsp&nbsp ✨ <a href="https://github.com/yu-rp/Dimple">Code</a>&nbsp&nbsp
 </p>
 
 # 💧 Dimple-7B
@@ -50,20 +51,20 @@ Trained on the same dataset as LLaVA-NEXT, **Dimple-7B surpasses LLaVA-NEXT-7B b
 | **Training Samples**  | 1.3M             | 1.2M         | 1.3M          | 2.4M     | 27.8M     | 1.5B       | -             |
 | **Training Tokens**   | 0.8B             | -            | -             | -        | -         | -          | 2.6T          |
 | **Base LLM**          | Dream (Qwen2.5)  | Vicuna       | Vicuna-1.5    | Vicuna   | Qwen2.5   | Qwen       | Qwen2.5       |
-| **GQA**               | 59.2             | 62.0         | 64.8          | 64.9 | -         | 59.3       | -             |
-| **MMBench (en test)** | 74.6         | 64.3         | 68.7          | 68.4     | -         | -          | 83.5      |
-| **MME (Perception)**  | 1514             | 1510         | 1519          | 1528 | -         | -          | -             |
-| **MME (Cognition)**   | 432          | -            | 332           | -        | -         | -          | -             |
-| **MME (Total)**       | 1946         | -            | 1851          | -        | -         | -          | 2347      |
-| **POPE**              | 86.2             | 85.8         | 86.7          | 88.8 | -         | -          | -             |
-| **MMMU (val)**        | 45.2         | -            | 35.8          | 36.3     | 56.1      | -          | 58.6      |
-| **SQA (img)**         | 77.1         | 66.8         | 72.8          | 70.0     | -         | -          | -             |
-| **AI2D**              | 74.4         | -            | 65.4          | -        | 83.9  | 62.3       | 83.9      |
-| **ChartQA**           | 63.4             | -            | 54.9          | 67.7 | 86.4  | 65.7       | 87.3      |
-| **TextVQA**           | 61.6             | -            | 64.8      | -        | 83.0  | -          | -             |
-| **OCRBench**          | 565          | -            | 490           | 529      | -         | -          | -             |
-| **MathVista (mini)**  | 42.3         | -            | 33.0          | -        | 63.8  | 37.0       | 68.2      |
-| **MMVet**             | 41.2             | 31.1         | 47.3      | -        | 62.2  | -          | 67.1      |
+| **GQA**               | 59.2             | 62.0         | 64.8          | 64.9     | -         | 59.3       | -             |
+| **MMBench (en test)** | 74.6             | 64.3         | 68.7          | 68.4     | -         | -          | 83.5           |
+| **MME (Perception)**  | 1514             | 1510         | 1519          | 1528     | -         | -          | -             |
+| **MME (Cognition)**   | 432              | -            | 332           | -        | -         | -          | -             |
+| **MME (Total)**       | 1946             | -            | 1851          | -        | -         | -          | 2347           |
+| **POPE**              | 86.2             | 85.8         | 86.7          | 88.8     | -         | -          | -             |
+| **MMMU (val)**        | 45.2             | -            | 35.8          | 36.3     | 56.1      | -          | 58.6           |
+| **SQA (img)**         | 77.1             | 66.8         | 72.8          | 70.0     | -         | -          | -             |
+| **AI2D**              | 74.4             | -            | 65.4          | -        | 83.9      | 62.3       | 83.9           |
+| **ChartQA**           | 63.4             | -            | 54.9          | 67.7     | 86.4      | 65.7       | 87.3           |
+| **TextVQA**           | 61.6             | -            | 64.8          | -        | 83.0      | -          | -             |
+| **OCRBench**          | 565              | -            | 490           | 529      | -         | -          | -             |
+| **MathVista (mini)**  | 42.3             | -            | 33.0          | -        | 63.8      | 37.0       | 68.2           |
+| **MMVet**             | 41.2             | 31.1         | 47.3          | -        | 62.2      | -          | 67.1           |
 
 ---
 
@@ -153,4 +154,4 @@ for j in range(len(messages)):
 ## 📚 Citation
 
 > Citation information will be provided soon.
-> Please stay tuned if you are interested in citing **Dimple** in your work.
+> Please stay tuned if you are interested in citing **Dimple** in your work.