Update README.md

README.md

@@ -6,7 +6,7 @@ license: apache-2.0
 
 VCoder LLaVA-1.5-13b was trained on COST training dataset in December 2023. It uses the pretrained [LLaVA-1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) model weights. It was introduced by Jain et al. in [this repository](https://github.com/SHI-Labs/VCoder).
 
-VCoder is an adapter for improving existing Vision LLMs at object-level perception tasks with the use of perception modalities as control inputs while retaining performance on other tasks.
+VCoder is an adapter for improving existing Multimodal LLMs at object-level perception tasks with the use of perception modalities as control inputs while retaining performance on other tasks.
 
 ![img](https://praeclarumjj3.github.io/vcoder/vcoder.svg)
 
@@ -14,7 +14,7 @@ VCoder is an adapter for improving existing Vision LLMs at object-level percepti
 
 ```bibtex
 @article{jain2023vcoder,
-    title={{VCoder: Versatile Visual Encoder for Accurate Object-Level Perception with Large Language Models}},
+    title={{VCoder: Versatile Vision Encoders for Multimodal Large Language Models}},
     author={Jitesh Jain and Jianwei Yang and Humphrey Shi},
     journal={arXiv},
     year={2023}