Update README.md

README.md

@@ -31,7 +31,7 @@ Note that Jellyfish is only a 13B model and can be run locally for low cost and
 | Schema Matching  |  Sythea        | 38.50| 57.14 | 66.67 | 36.36 | 30.77 |  
 
 _Accuracy as the metric for data imputation, and the F1 score for other tasks._  
-_For GPT-3.5, we used the few-shot approach, while for Jellyfish and Jellyfish-Reasoning, the zero-shot approach was employed._
+_For GPT-3.5, GPT-4 we used the few-shot approach, while for Jellyfish and Jellyfish-Reasoning, the zero-shot approach was employed._
 1.  
   [Ditto](https://arxiv.org/abs/2004.00584) for Entity Matching  
   [SMAT](https://www.researchgate.net/publication/353920530_SMAT_An_Attention-Based_Deep_Learning_Solution_to_the_Automation_of_Schema_Matching) for Schema Matching