Update README.md

README.md

@@ -19,9 +19,9 @@ It has the ability to analyze and understand multiple images, as well as follow
 MMICL outperforms the VL model of the same size and performs exceptionally well on complex visual reasoning datasets. 
 Till 21st Aug. 2023, it achieves **state-of-the-art ** performance on both multimodal task leaderboards and a wide range of vision-language tasks. 
 Furthermore, it showcases new capabilities in video understanding and multimodal in-context learning (M-ICL).
-+ <mark>**Capability of multiple images refering and reasoning**<mark>
++ **Capability of multiple images refering and reasoning**
 
-+ <mark>**Manually constructed In-context instruction tuning dataset**<mark>
++ **Manually constructed In-context instruction tuning dataset**
 
 + Till 21st Aug. 2023 **1st on [MME](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models/tree/Evaluation), 1st on [MMBench](https://opencompass.org.cn/leaderboard-multimodal)**