update results

results.csv

@@ -19,4 +19,7 @@ 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-Qwen2-VL-2B-Instruct,2.21,Self-Reported,55.8,56.9,41.2,67.8,53.4
-VLM2Vec (Qwen2-VL-LoRA-HighRes),8.29,TIGER-Lab,65.8,62.6,57.8,69.9,81.7
+VLM2Vec (Qwen2-VL-LoRA-HighRes),8.29,TIGER-Lab,65.8,62.6,57.8,69.9,81.7
+LLaVE-7B,8.03,Self-Reported,70.3,65.7,65.4,70.9,91.9
+LLaVE-2B,1.95,Self-Reported,65.2,62.1,60.2,65.2,84.9
+LLaVE-0.5B,0.894,Self-Reported,59.1,57.4,50.3,59.8,82.9

utils.py

@@ -113,7 +113,10 @@ MODEL_URLS = {
     "CLIP-FT": "https://doi.org/10.48550/arXiv.2103.00020", 
     "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"
+    "MM-Embed": "https://huggingface.co/nvidia/MM-Embed", 
+    "LLaVE-7B": "https://huggingface.co/zhibinlan/LLaVE-7B", 
+    "LLaVE-2B": "https://huggingface.co/zhibinlan/LLaVE-2B", 
+    "LLaVE-0.5B": "https://huggingface.co/zhibinlan/LLaVE-0.5B"
 }
 
 def create_hyperlinked_names(df):