Update README.md

README.md

@@ -15,7 +15,7 @@ datasets:
 - AdaptLLM/food-visual-instructions
 ---
 
-# 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 MLLM developed from Qwen2.5-VL-3B-Instruct** in our paper: [On Domain-Adaptive Post-Training for Multimodal Large Language Models](https://huggingface.co/papers/2411.19930). The correspoding training dataset is in [food-visual-instructions](https://huggingface.co/datasets/AdaptLLM/food-visual-instructions).
 
@@ -131,10 +131,10 @@ For reference, we train from Qwen2.5-VL-3B-Instruct for 1 epoch with a learning
 ## 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}