Update README.md

README.md

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 # VCoder LLaVA-1.5-7b
 
-VCoder LLaVA-1.5-7b was trained on COST training dataset in December 2023. It uses the pretrained [LLaVA-1.5-7b](https://huggingface.co/liuhaotian/llava-v1.5-7b) model weights. It was introduced in the paper [VCoder: Versatile Visual Encoder for Accurate Object-Level Perception with Large Language Models](https://arxiv.org/abs/2211.06220) by Jain et al. in [this repository](https://github.com/SHI-Labs/VCoder).
+VCoder LLaVA-1.5-7b was trained on COST training dataset in December 2023. It uses the pretrained [LLaVA-1.5-7b](https://huggingface.co/liuhaotian/llava-v1.5-7b) 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.