Update README.md

README.md

@@ -1,18 +1,18 @@
----
-license: apache-2.0
-datasets:
-- BLIP3o/BLIP3o-Pretrain-Long-Caption
-- BLIP3o/BLIP3o-Pretrain-Short-Caption
-- BLIP3o/BLIP3o-Pretrain-JourneyDB
-base_model:
-- OpenGVLab/InternVL3-1B
----
+---
+license: apache-2.0
+datasets:
+- BLIP3o/BLIP3o-Pretrain-Long-Caption
+- BLIP3o/BLIP3o-Pretrain-Short-Caption
+- BLIP3o/BLIP3o-Pretrain-JourneyDB
+base_model:
+- OpenGVLab/InternVL3-1B
+---
 This repository contains the model (**autoencoders**) presented in the paper UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing.
 
 UniLIP proposes a unified, CLIP-based encoder featuring both rich semantics and fine-grained image details. Through a **two-stage and self-distillation training** for reconstruction, we empower CLIP to achieve excellent reconstruction results **without compromising its original understanding abilities**. Leveraging this powerful unified representation, UniLIP excels across understanding, generation, and editing tasks.
 
 For more details, please refer to the original paper and the GitHub repository:
 
-Paper: [UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface](https://www.arxiv.org/abs/2507.23278)
+Paper: https://www.arxiv.org/abs/2507.23278
 
 GitHub: https://github.com/nnnth/UniLIP