Update README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ datasets:
|
|
| 13 |
- AdaptLLM/remote-sensing-visual-instructions
|
| 14 |
---
|
| 15 |
|
| 16 |
-
# Adapting Multimodal Large Language Models to Domains via Post-Training
|
| 17 |
|
| 18 |
This repos contains the **remote-sensing 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 [remote-sensing-visual-instructions](https://huggingface.co/datasets/AdaptLLM/remote-sensing-visual-instructions).
|
| 19 |
|
|
@@ -129,10 +129,10 @@ For reference, we train from Qwen2.5-VL-3B-Instruct for 1 epoch with a learning
|
|
| 129 |
## Citation
|
| 130 |
If you find our work helpful, please cite us.
|
| 131 |
|
| 132 |
-
[
|
| 133 |
```bibtex
|
| 134 |
@article{adamllm,
|
| 135 |
-
title={On Domain-
|
| 136 |
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},
|
| 137 |
journal={arXiv preprint arXiv:2411.19930},
|
| 138 |
year={2024}
|
|
|
|
| 13 |
- AdaptLLM/remote-sensing-visual-instructions
|
| 14 |
---
|
| 15 |
|
| 16 |
+
# Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025)
|
| 17 |
|
| 18 |
This repos contains the **remote-sensing 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 [remote-sensing-visual-instructions](https://huggingface.co/datasets/AdaptLLM/remote-sensing-visual-instructions).
|
| 19 |
|
|
|
|
| 129 |
## Citation
|
| 130 |
If you find our work helpful, please cite us.
|
| 131 |
|
| 132 |
+
[Adapt MLLM to Domains](https://huggingface.co/papers/2411.19930) (EMNLP 2025 Findings)
|
| 133 |
```bibtex
|
| 134 |
@article{adamllm,
|
| 135 |
+
title={On Domain-Adaptive Post-Training for Multimodal Large Language Models},
|
| 136 |
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},
|
| 137 |
journal={arXiv preprint arXiv:2411.19930},
|
| 138 |
year={2024}
|