jx-yang commited on
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d9d4c3d
1 Parent(s): c93680d

<ADD> optimize code

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Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -170,9 +170,11 @@ Directly employing ICL results in lower prediction accuracy. However, in our pro
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  #the-table > div > div > div > table > thead {display: none}
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  #the-table > div > div > div > table > tbody > tr:last-child {background-color: beige}
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  #the-table > div > div > div > table > tbody > tr:first-child {background-color: lightgray}
 
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  #the-table > div > div > div > table > tbody > tr > td:first-child {min-width: 300px;}
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- #the-table > div > div > div > table > tbody > tr > td:not(:first-child) {white-space: nowrap; padding: 0 2px; }
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  #the-text { font-size: large; }
 
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  """
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  title = "🤔 Iterative Forward Tuning Boosts In-context Learning in Language Models"
 
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  #the-table > div > div > div > table > thead {display: none}
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  #the-table > div > div > div > table > tbody > tr:last-child {background-color: beige}
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  #the-table > div > div > div > table > tbody > tr:first-child {background-color: lightgray}
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+ #the-table > div > div > div > table > tbody > tr > td {padding: 0 2px;}
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  #the-table > div > div > div > table > tbody > tr > td:first-child {min-width: 300px;}
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+ #the-table > div > div > div > table > tbody > tr > td:not(:first-child) {white-space: nowrap; }
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  #the-text { font-size: large; }
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+ #main-button { max-width: 500px; margin: 0 auto; }
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  """
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  title = "🤔 Iterative Forward Tuning Boosts In-context Learning in Language Models"