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@@ -29,7 +29,7 @@ Props to both the teams for such a robust work.
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  <details>
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- **1. Lexical search:**
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  Lexical search with BOW based sparse vectors are strong baselines, but they famously suffer from vocabulary mismatch problem, as they can only do exact term matching. Here are the pros and cons:
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  Please cite if you use our models or libraries. Citation info below.
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  T.B.D
 
 
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  <details>
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+ **1. Lexical search:**
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  Lexical search with BOW based sparse vectors are strong baselines, but they famously suffer from vocabulary mismatch problem, as they can only do exact term matching. Here are the pros and cons:
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  Please cite if you use our models or libraries. Citation info below.
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  T.B.D
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