Update README.md

README.md

@@ -37,7 +37,7 @@ AdaMLLM represents our latest advancement in building domain-specific foundation
 - **[AdaptLLM](https://huggingface.co/papers/2309.09530): Adapt LLM to domains**  
   We employ rule-based methods to extract tasks from domain-specific corpora, reformatting them into reading comprehension tasks for continued pre-training. Our 7B finance model outperforms domain-specific models of much larger scales, such as BloombergGPT-50B.
 
-- **AdaMLLM: Adapt MLLM to domains**  
+- **AdaMLLM: Adapt Multimodal LLM to domains**  
   We extend supervised task synthesis to multimodality, introducing a unified visual instruction synthesizer to extract instruction-response pairs from domain-specific image-caption pairs. Our synthetic tasks outperform those generated by manual rules, GPT-4, and GPT-4V in improving domain-specific performance for MLLMs.