Update README.md

README.md

@@ -27,7 +27,7 @@ We investigate domain adaptation of MLLMs through post-training, focusing on dat
 To synthesize an "instruction-informative response-precise response" triplet based on the following image-caption pair.
 
 <p align='left'>
-    <img src="https://cdn-uploads.huggingface.co/production/uploads/650801ced5578ef7e20b33d4/mgI_Ayj12_Q_kviWvfAVb.jpeg" width="300">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/650801ced5578ef7e20b33d4/mgI_Ayj12_Q_kviWvfAVb.jpeg" width="200">
 </p>
 
 ```python
@@ -47,7 +47,6 @@ caption = "Dish: Strawberry Waffles\n\nSteps to prepare:\na). Preheat and grease
 # Path to synthesizer
 model_path = "AdaptLLM/visual-instruction-synthesizer"
 
-
 # =========================== Do NOT need to modify the following ===============================
 
 # Prompt Hints
@@ -172,16 +171,4 @@ AdaMLLM
   journal={arXiv preprint arXiv:2406.14491},
   year={2024}
 }
-```
-
-[Adapt LLM to Domains](https://huggingface.co/papers/2309.09530) (ICLR 2024)
-```bibtex
-@inproceedings{
-cheng2024adapting,
-title={Adapting Large Language Models via Reading Comprehension},
-author={Daixuan Cheng and Shaohan Huang and Furu Wei},
-booktitle={The Twelfth International Conference on Learning Representations},
-year={2024},
-url={https://openreview.net/forum?id=y886UXPEZ0}
-}
 ```