Update README.md

README.md

@@ -20,7 +20,7 @@ achieves SOTA on hallucination detection compared to leading closed models, at a
 
 # 1. Intended Use Cases
 **Root Judge** is primarily intended to be used as an LLM-as-a-Judge in various contexts such as:
-- Detecting context-grounded hallucinations, e.g. for Retrieval Augmented Generation (RAG) settings in an explainable manner, providing a justification for the score
+- Detecting context-grounded hallucinations, e.g. for *Retrieval Augmented Generation* (RAG) settings in an explainable manner, providing a justification for the score
 - Pairwise preference judgments due to strong evaluation instruction-following capabilities
 - Serving as a custom evaluation metric powered by use case specific evaluation rubrics
 - Assisting inference-time search or synthetic data tasks that require Best-of-N decisions