Update leaderboard display

app.py

@@ -54,12 +54,14 @@ LANGUAGES = {"English": {
         "citation_title": "### Citation",
         "citation_description": """
 ```
-@article{dragon-dynamic-rag-benchmark,
-  title={DRAGON. Dynamic RAG Benchmark On News},
-  author={RAG Benchmark Team},
-  journal={arXiv preprint},
-  year={2025},
-  url={https://github.com/rag-benchmark}
+@misc{chernogorskii2025dragondynamicragbenchmark,
+      title={DRAGON: Dynamic RAG Benchmark On News}, 
+      author={Fedor Chernogorskii and Sergei Averkiev and Liliya Kudraleeva and Zaven Martirosian and Maria Tikhonova and Valentin Malykh and Alena Fenogenova},
+      year={2025},
+      eprint={2507.05713},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2507.05713}, 
 }
 ```
 
@@ -346,14 +348,16 @@ def create_summary_df(df, retrieval_metrics, generation_metrics):
         summary_df['Generation (avg)'] = generation_avg
     
     # Add total score if all three columns exist
-    if 'Retrieval (avg)' in summary_df.columns and 'Generation (avg)' in summary_df.columns and 'Judge' in summary_df.columns:
-        summary_df['Total Score'] = summary_df[['Retrieval (avg)', 'Generation (avg)', 'Judge']].mean(axis=1).round(4)
+    if 'Retrieval (avg)' in summary_df.columns and 'Generation (avg)' in summary_df.columns:
+    # if 'Retrieval (avg)' in summary_df.columns and 'Generation (avg)' in summary_df.columns and 'Judge' in summary_df.columns:
+        # summary_df['Total Score'] = summary_df[['Retrieval (avg)', 'Generation (avg)', 'Judge']].mean(axis=1).round(4)
+        summary_df['Total Score'] = summary_df[['Retrieval (avg)', 'Generation (avg)']].mean(axis=1).round(4)
         summary_df = summary_df.sort_values('Total Score', ascending=False)
     
     # Select columns for display
-    summary_cols = ['Model', 'Embeddings', 'Top-K']
-    if 'Judge' in summary_df.columns:
-        summary_cols.append('Judge')
+    summary_cols = ['Model', 'Embeddings', 'Top k']
+    # if 'Judge' in summary_df.columns:
+    #     summary_cols.append('Judge')
     if 'Retrieval (avg)' in summary_df.columns:
         summary_cols.append('Retrieval (avg)')
     if 'Generation (avg)' in summary_df.columns: