.

app.py

@@ -141,8 +141,8 @@ demo = gr.Interface(
         gr.HighlightedText(label='No CoT Predicted Product', combine_adjacent=False, show_legend=False, color_map=color_map, show_inline_category=False),
         gr.HighlightedText(label='Explicit CoT Predicted Product', combine_adjacent=False, show_legend=False, color_map=color_map, show_inline_category=False),
     ],
-    title='Use GPT2 to Predict Multiplication of Two Numbers (Without Using Intermediate Steps)',
-    description='This demo shows it\'s possible to use GPT2 to directly predict the product of two large numbers without using any intermediate reasoning steps. The GPT2 model has been finetuned to internalize chain-of-thought (CoT) reasoning within its hidden states, following our stepwise internalization approach detailed in the paper linked at the bottom of this page.',
+    title='Can GPT2 Predict Multiplication of Two Numbers Without Intermediate Steps?',
+    description='This demo demonstrates GPT2\'s ability to directly predict the product of two large numbers without intermediate reasoning steps. The GPT2 has been finetuned to internalize chain-of-thought (CoT) reasoning within its hidden states through our stepwise internalization approach. The results demonstrate the effectiveness of implicit CoT (our approach, accurate and fast), compared to no CoT (fast but inaccurate) and explicit CoT (accurate but slow).',
     article="""
     - [Paper: From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step](https://arxiv.org/pdf/2405.14838)
     - [Code Repository](https://github.com/da03/Internalize_CoT_Step_by_Step)