Update README.md

README.md

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 [GitHub](https://github.com/RLHF-V/RLAIF-V)
 
-**RLAIF-V-7B** is a variant of LLaVA-v1.5-7B with greatly enhanced trustworthiness. The model is trained by a novel framework, **RLAIF-V**, that aligns MLLMs in a **fully open-source paradigm for super GPT-4V trustworthiness**. RLAIF-V maximally exploits the open-source feedback from two key perspectives, including **high-quality feedback data** and an **online feedback learning algorithm**. 
+**RLAIF-V-7B** is a variant of LLaVA 1.5 7B with greatly enhanced trustworthiness. The model is trained by a novel framework, **RLAIF-V**, that aligns MLLMs in a **fully open-source paradigm for super GPT-4V trustworthiness**. RLAIF-V maximally exploits the open-source feedback from two key perspectives, including **high-quality feedback data** and an **online feedback learning algorithm**. 
 
 
 ## Model Details
 
 ### Key Features
 
-* 📈**Best trustworthiness enhancement on LLaVA-v1.5**: By learning from open-source AI feedback, specifically, the feedback from LLaVA-NeXT-34B, RLAIF-V-7B achieves the best trustworthiness improvement on LLaVA-v1.5 compared to other hallucination reduction methods.
-* 💪**Maintaining Well Performance on General Abilities**: On benchmarks tested with the general abilities (e.g. LLaVABench, MMStar), RLAIF-V-7B also exhibits good performance.
+* 📈 **Most trustworthy LLaVA 1.5**: By learning from open-source AI feedback, specifically, the feedback from LLaVA-NeXT-34B, RLAIF-V-7B achieves the best trustworthiness improvement on LLaVA-v1.5 compared to other hallucination reduction methods.
+* 💪 **Maintaining Well Performance on General Abilities**: On benchmarks evaluating general capabilities (e.g. LLaVA Bench, MMStar), RLAIF-V-7B also exhibits good performance.
 
 
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