Update README.md

README.md

@@ -1,25 +1,25 @@
----
-license: apache-2.0
-task_categories:
-- text-retrieval
-- text-classification
-language:
-- en
-tags:
-- multimodal
-pretty_name: UME-rl-train
----
-
-# UME-rl-train
-- **Repository:** [UME-R1](https://github.com/DeepLearnXMU/UME-R1)
-- **Paper:** [UME-R1]()
-
-## Introduction
-
-The dataset is constructed based on the training set of MMEB-V2. The dataset is evenly sampled from the MMEB-V2 dataset, which covers image, video, and visual document modalities, ensuring that the total amount of data across different modalities is approximately balanced, as well as the amount of data within each dataset under the same modality. This results in a final set of 11,136 RL pairs.
-
-## Citation
-If you find our work helpful, feel free to give us a cite.
-
-```
-```
+---
+license: apache-2.0
+task_categories:
+- text-retrieval
+- text-classification
+language:
+- en
+tags:
+- multimodal
+pretty_name: UME-rl-train
+---
+
+# UME-rl-train
+- **Repository:** [UME-R1](https://github.com/DeepLearnXMU/UME-R1)
+- **Paper:** [UME-R1](https://arxiv.org/abs/2511.00405)
+
+## Introduction
+
+The dataset is constructed based on the training set of MMEB-V2. The dataset is evenly sampled from the MMEB-V2 dataset, which covers image, video, and visual document modalities, ensuring that the total amount of data across different modalities is approximately balanced, as well as the amount of data within each dataset under the same modality. This results in a final set of 11,136 RL pairs.
+
+<!-- ## Citation
+If you find our work helpful, feel free to give us a cite.
+
+```
+``` -->