Update README.md

README.md

@@ -66,7 +66,7 @@ If you find our work useful, please give us credit by citing:
 | Entity Matching | Unseen | Walmart-Amazon    | 86.89           | 87.00  | **90.27** | 79.19  | 82.40     | 84.91        | 85.24        | *89.42*       |
 | Avg             |        |                   | 80.44           | -      | *84.17* | 72.58  | -         | 82.74        | 81.55        | **86.02**     |
 
-_For GPT-3.5 and GPT-4, we used the few-shot approach on all datasets. However, for Jellyfish-13B and Jellyfish-Interpreter, the few-shot approach is disabled on seen datasets and enabled on unseen datasets._   
+_For GPT-3.5 and GPT-4, we used the few-shot approach on all datasets. However, for Jellyfish models, the few-shot approach is disabled on seen datasets and enabled on unseen datasets._   
 _Accuracy as the metric for data imputation and the F1 score for other tasks._ 
 
 1.  
@@ -86,7 +86,7 @@ _Accuracy as the metric for data imputation and the F1 score for other tasks._
 |--------|-----------------|--------|--------|--------|--------------|--------------|---------------|
 | SOTAB | 79.20 | 89.47 | 91.55 | 65.05 | 83 | 76.33 | 82 |
 
-_Few-shot is disabled for Jellyfish-13B._   
+_Few-shot is disabled for Jellyfish models._   
 
 1. Results from [Column Type Annotation using ChatGPT](https://arxiv.org/abs/2306.00745)
 
@@ -97,7 +97,7 @@ _Few-shot is disabled for Jellyfish-13B._
 | AE-110k | 52.10 | 49.20 | 61.30 | 55.50 | 55.77 | 56.09 |59.55 | 58.12 |
 | OA-Mine | 50.80 | 55.20 | 62.70 | 68.90 | 60.20 | 51.98 | 59.22 | 55.96 |
 
-_Few-shot is disabled for Jellyfish-13B._   
+_Few-shot is disabled for Jellyfish models._   
 
 1. Results from [Product Attribute Value Extraction using Large Language Models](https://arxiv.org/abs/2310.12537)