Update README.md

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README.md

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 # LISA: Reasoning Segmentation Via Large Language Model
 
-This is the official implementation of ***LISA (large Language Instructed Segmentation Assistant)***. 
+This is the official implementation of ***LISA*** (large ***L***anguage ***I***nstructed ***S***egmentation ***A***ssistant). 
 
 ## News
 - [x] [2023.8.2] Paper is released and github repo is created.
@@ -10,7 +10,13 @@ This is the official implementation of ***LISA (large Language Instructed Segmen
 - [ ] ReasonSeg Dataset Release
 - [ ] Codes and models Release
 
-LISA can handle cases involving: 1) complex reasoning; 2) world knowledge; 3) explanatory answers; 4) multi-turn conversation.It demonstrates robust zero-shot capability when trained exclusively on reasoning-free datasets.
+***LISA*** unlocks the new segmentation capabilities of multi-modal LLM, and can handle cases involving: 
+1. complex reasoning; 
+2. world knowledge; 
+3. explanatory answers; 
+4. multi-turn conversation. 
+
+***LISA*** also demonstrates robust zero-shot capability when trained exclusively on reasoning-free datasets. In addition, fine-tuning the model with merely 239 reasoning segmentation image-instruction pairs results in further performance enhancement.
 <p align="center"> <img src="imgs/fig_teaser4_crop.png" width="100%"> </p>
 
 ## Abstract