update results

results.csv

@@ -13,7 +13,8 @@ VLM2Vec (Phi-3.5-V-FT),4.15,TIGER-Lab,55.9,52.8,50.3,57.8,72.3
 VLM2Vec (Phi-3.5-V-LoRA),4.15,TIGER-Lab,60.1,54.8,54.9,62.3,79.5
 VLM2Vec (LLaVA-1.6-LoRA-LowRes),7.57,TIGER-Lab,55.0,54.7,50.3,56.2,64.0
 VLM2Vec (LLaVA-1.6-LoRA-HighRes),7.57,TIGER-Lab,62.9,61.2,49.9,67.4,86.1
-MMRet-large,0.428,Self-Reported,64.1,56.0,57.4,69.9,83.6
+MMRet-MLLM (LLaVA-1.6),7.57,Self-Reported,44.0,47.2,18.4,56.5,62.2
+MMRet-MLLM (FT),7.57,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

utils.py

@@ -104,7 +104,7 @@ MODEL_URLS = {
     "open_clip-ViT-L/14": "https://github.com/mlfoundations/open_clip", 
     "e5-v": "https://huggingface.co/royokong/e5-v", 
     "Magiclens": "https://github.com/google-deepmind/magiclens",
-    "MMRet-large": "https://huggingface.co/JUNJIE99/MMRet-large", 
+    "MMRet": "https://huggingface.co/JUNJIE99/MMRet-large", 
     "VLM2Vec-Phi-3.5-v": "https://huggingface.co/TIGER-Lab/VLM2Vec-Full",
     "VLM2Vec": "https://github.com/TIGER-AI-Lab/VLM2Vec", 
     "UniIR": "https://huggingface.co/TIGER-Lab/UniIR", 
@@ -132,6 +132,9 @@ def create_hyperlinked_names(df):
         if "mmE5" in model_name:
             url = MODEL_URLS["mmE5"]
             return convert_url(url, model_name)
+        if "MMRet" in model_name:
+            url = MODEL_URLS["MMRet"]
+            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()