Update README.md

README.md

@@ -26,7 +26,7 @@ configs:
     path: foodseg103/data-*.arrow
 ---
 
-# Adapting Multimodal Large Language Models to Domains via Post-Training
+# Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025)
 
 This repos contains the **food visual instruction tasks for evaluating MLLMs** in our paper: [On Domain-Specific Post-Training for Multimodal Large Language Models](https://huggingface.co/papers/2411.19930).
 
@@ -162,10 +162,10 @@ The evaluation results are stored in `./eval_results`, and the model prediction
 ## Citation
 If you find our work helpful, please cite us.
 
-[AdaMLLM](https://huggingface.co/papers/2411.19930)
+[Adapt MLLM to Domains](https://huggingface.co/papers/2411.19930) (EMNLP 2025 Findings)
 ```bibtex
 @article{adamllm,
-  title={On Domain-Specific Post-Training for Multimodal Large Language Models},
+  title={On Domain-Adaptive Post-Training for Multimodal Large Language Models},
   author={Cheng, Daixuan and Huang, Shaohan and Zhu, Ziyu and Zhang, Xintong and Zhao, Wayne Xin and Luan, Zhongzhi and Dai, Bo and Zhang, Zhenliang},
   journal={arXiv preprint arXiv:2411.19930},
   year={2024}