add urls for new models

results.csv

@@ -17,4 +17,4 @@ MMRet-large,0.428,Self-Reported,64.1,56.0,57.4,69.9,83.6
 mmE5-mllama-11b-instruct,10.6,Self-Reported,69.8,67.6,62.6,71.0,89.6
 mmE5 (w/ 560K synthetic data),10.6,Self-Reported,58.6,60.6,55.7,54.7,72.4
 MM-EMBED,8.18,Self-Reported,50.0,48.1,32.3,63.8,57.8
-GME,2.21,Self-Reported,55.8,56.9,41.2,67.8,53.4
+gme-Qwen2-VL-2B-Instruct,2.21,Self-Reported,55.8,56.9,41.2,67.8,53.4

utils.py

@@ -110,7 +110,9 @@ MODEL_URLS = {
     "UniIR": "https://huggingface.co/TIGER-Lab/UniIR", 
     "OpenCLIP-FT": "https://doi.org/10.48550/arXiv.2212.07143", 
     "CLIP-FT": "https://doi.org/10.48550/arXiv.2103.00020", 
-    "mmE5-mllama-11b-instruct": "https://huggingface.co/intfloat/mmE5-mllama-11b-instruct"
+    "mmE5": "https://huggingface.co/intfloat/mmE5-mllama-11b-instruct", 
+    "gme-Qwen2-VL-2B-Instruct": "https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct", 
+    "MM-Embed": "https://huggingface.co/nvidia/MM-Embed"
 }
 
 def create_hyperlinked_names(df):
@@ -127,6 +129,9 @@ def create_hyperlinked_names(df):
         if "UniIR" in model_name:
             url = MODEL_URLS["UniIR"]
             return convert_url(url, model_name)
+        if "mmE5" in model_name:
+            url = MODEL_URLS["mmE5"]
+            return convert_url(url, model_name)
         return convert_url(MODEL_URLS[model_name], model_name) if model_name in MODEL_URLS else model_name
     
     df = df.copy()