SecureLLMSys commited on
Commit
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1 Parent(s): 00c5352
Files changed (1) hide show
  1. app.py +6 -1
app.py CHANGED
@@ -857,7 +857,12 @@ with gr.Blocks(theme=theme, css=custom_css) as demo:
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  gr.Markdown("""
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  <div style="font-size: 18px;">
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- AttnTrace is an efficient context traceback method for long contexts (e.g., full papers). It is over 15Γ— faster than the state-of-the-art context traceback method TracLLM. Compared to previous attention-based approaches, AttnTrace is more accurate, reliable, and memory-efficient. AttnTrace can be used in many real-world applications, such as tracing back to:
 
 
 
 
 
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  - πŸ“„ prompt injection instructions that manipulate LLM-generated paper reviews.
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  - πŸ’» malicious comment & code hiding in the codebase that misleads the AI coding assistant.
 
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  gr.Markdown("""
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  <div style="font-size: 18px;">
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+ AttnTrace is an efficient context traceback method for long contexts (e.g., full papers). It is over 15Γ— faster than the state-of-the-art context traceback method TracLLM. Compared to previous attention-based approaches, AttnTrace is more accurate, reliable, and memory-efficient.
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+ """, elem_classes="feature-highlights")
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+ # Feature highlights
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+ gr.Markdown("""
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+ <div style="font-size: 18px;">
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+ AttnTrace can be used in many real-world applications, such as tracing back to:
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  - πŸ“„ prompt injection instructions that manipulate LLM-generated paper reviews.
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  - πŸ’» malicious comment & code hiding in the codebase that misleads the AI coding assistant.