Update README.md

README.md

@@ -44,7 +44,7 @@ size_categories:
 
 ### Dataset Summary
 
-EmotionBench: A Multimodal Instruction-Driven Dataset for Fine-Grained Facial Emotion Recognition.
+BoEM: A Multimodal VQA Dataset for Fine-Grained Facial Emotion Recognition.
 
 
 This dataset contains facial expressions with corresponding emotion labels. Each image is labeled with emotions such as fear, happiness, sadness, etc., along with intensity information.
@@ -91,8 +91,8 @@ The images are annotated with emotion labels and intensity information.
 MIT
 
 @misc{emotionbench2026submission,
-  title        = {EmotionBench: A Multimodal Instruction-Driven Dataset for Fine-Grained Facial Emotion Recognition},
-  author       = {Your Name and Co-author Name and Co-author Name},
+  title        = {BoEM: A Multimodal VQA Dataset for Emotion Recognition},
+  author       = {Hoang Nam Dang, Lockheed Martin, Mei-Huei Tang},
   year         = {2026},
   note         = {Manuscript submitted to CVPR 2026},
 }