Update README.md

README.md

@@ -96,7 +96,7 @@ We evaluateD MultiClinicalBERT on **8 clinical NLP tasks across 4 languages**:
 
 We further evaluated whether MultiClinicalBERT could enhance downstream clinical classification by retrieving external, unlabeled knowledge from language-matched Wikipedia corpora.
 
-Across four clinical classification benchmarks and three Qwen3.5 model sizes (i.e., 2B, 4B, 9B), MultiClinicalBERT achieved the highest overall average performance among the seven retrieval approaches.
+Across four clinical classification benchmarks and three Qwen3.5 model sizes (i.e., 2B, 4B, 9B), **MultiClinicalBERT achieved the highest overall average performance among the seven retrieval approaches.**
 
 ### Key Results
 - Consistently outperforms Modern multilingual BERT (mmBERT)