update

README.md

@@ -14,15 +14,16 @@ language:
 The interaction between humans and artificial intelligence (AI) is a crucial factor that reflects the effectiveness of multimodal large language models (MLLMs). However, current MLLMs primarily focus on image-level comprehension and limit interaction to textual instructions, thereby constraining their flexibility in usage and depth of response. Therefore, we introduce the **Draw-and-Understand project**: a new model, a multi-domain dataset, and a challenging benchmark for visual prompting.
 
 
-## Training and Eval Dataset Card
+## Training and Evaluation Dataset Card
 
 - MDVP-Data is a comprehensive dataset for multi-domain visual-prompt instruction tuning. This dataset encompasses data for both point-level and region-level understanding, designed to enhance a model’s comprehension ability and robustness.
 
-- Based on MDVP-Data, we also introduce MDVP-Bench, a challenging benchmark designed to evaluate tasks that require a combination of detailed description referrals, inter-relationship analysis, and complex reasoning.
+- We also introduce MDVP-Bench, a challenging benchmark designed to evaluate tasks that require a combination of detailed description referrals, inter-relationship analysis, and complex reasoning.
 
 
 ## Paper and Code
-Paper: []() \
+Project Page: [Draw-and-Understand](https://draw-and-understand.github.io/) \
+Paper: [Paper]() \
 Code: [https://github.com/AFeng-x/Draw-and-Understand](https://github.com/AFeng-x/Draw-and-Understand)
 
 
@@ -31,7 +32,7 @@ Attribution-NonCommercial 4.0 International \
 It should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use.
 
 
-<!-- ## Citations
+## Citations
 ```
 
-``` -->
+```