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@@ -93,7 +93,7 @@ Exploring Refusal Loss Landscapes </title>
   From the above plot, we find that the loss landscape is more precipitous for malicious queries than for benign queries, which implies that 
   the <strong>Refusal Loss</strong> tends to have a large gradient norm if the input represents a malicious query. This observation motivates our proposal of using 
   the gradient norm of <strong>Refusal Loss</strong> to detect jailbreak attempts that pass the initial filtering of rejecting the input query when the function value is under 0.5.
-  Below we present the definition of the <strong>Refusal Loss</strong> and how we approximate it's function value and gradient. 
+  Below we present the definition of the <strong>Refusal Loss</strong> and the approximation of it's function value and gradient. 
   See more details about the concept, approximation, gradient estimation and landscape drawing of it in our paper. 
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