Update app.py

app.py

@@ -290,7 +290,7 @@ with gr.Blocks() as iface:
             - This demo is an early exploration of using LLMs for paper quality estimation and is not optimized against prompt injection attacks.
             - The **predicted value** is a probability generated by the model and **does NOT reflect the paper's true quality or novelty**.  
             - For **NAIPv1**, a normalized score greater than **0.60** is considered to indicate a potentially impactful paper.  
-            - For **NAIPv2**, normalized scores above **0.46**, **0.61**, and **0.79** correspond to the statistical means of NeurIPS rejected, Poster, and Oral papers, respectively.  
+            - For **NAIPv2**, a normalized score above **0.60** corresponds to the statistical mean of NeurIPS accepted papers (Poster).  
             """)
 
     title_input.change(