ahmad21omar commited on
Commit
d46e146
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1 Parent(s): 9fe6f9f

remove colors in text

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -9,7 +9,7 @@ This is a leaderboard displaying model performance metrics for the SLR-BENCH ben
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  We report the models’ Logical Reasoning Level (LRL), syntax score,
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  stage-specific logical reasoning accuracy (basic, easy, medium, hard), total completion tokens, and inference cost.
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  Higher LRL and accuracy indicate superior logical reasoning; lower compute, greater efficiency. Performance drops
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- as complexity increases, while Reasoning LLMs (orange) consistently outperform conventional LLMs (blue).
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  """)
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  # Load the CSV file
 
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  We report the models’ Logical Reasoning Level (LRL), syntax score,
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  stage-specific logical reasoning accuracy (basic, easy, medium, hard), total completion tokens, and inference cost.
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  Higher LRL and accuracy indicate superior logical reasoning; lower compute, greater efficiency. Performance drops
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+ as complexity increases, while Reasoning LLMs consistently outperform conventional LLMs.
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  """)
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  # Load the CSV file