Update README.md

README.md

@@ -85,7 +85,7 @@ Note: other environments may also work.
   - `gqa`： [GQA images](https://nlp.stanford.edu/data/gqa/images.zip).
   - `llava_cap`：[images](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain/blob/main/images.zip) .
   - `v3det`：The V3Det dataset can be downloaded from [opendatalab](https://opendatalab.com/V3Det/V3Det). 
-  - Our generated jsonls can be found [huggingface](https://huggingface.co/fushh7/LLMDet) or [modelscope](https://modelscope.cn/models/fushh7/LLMDet).
+  - Our generated jsonls can be found in [huggingface](https://huggingface.co/fushh7/LLMDet) or [modelscope](https://modelscope.cn/models/fushh7/LLMDet).
   - For other evalation datasets, please refer to [MM-GDINO](https://github.com/open-mmlab/mmdetection/blob/main/configs/mm_grounding_dino/dataset_prepare.md).
 
 ### 5 Usage
@@ -112,7 +112,7 @@ If you find our work helpful for your research, please consider citing our paper
 
 ```
 @article{fu2025llmdet,
-  title={Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models},
+  title={LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models},
   author={Fu, Shenghao and Yang, Qize and Mo, Qijie and Yan, Junkai and Wei, Xihan and Meng, Jingke and Xie, Xiaohua and Zheng, Wei-Shi},
   journal={arXiv preprint arXiv:2501.18954},
   year={2025}