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@@ -98,8 +98,8 @@ Exploring Refusal Loss Landscapes </title>
   the Refusal Loss 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 Refusal Loss to detect jailbreak attempts that pass the initial filtering of rejecting the input query when the function value 
   is under 0.5 (this is a naive detector because the Refusal Loss can be regarded as the probability that the LLM won't reject the user query).
-  Below we present the definition of the Refusal Loss and the approximation of its function value and gradient, see more details about them and 
-  the landscape drawing techniques in our paper. 
+  Below we present the definition of the Refusal Loss, the computation of its empirical values, and the approximation of its gradient, see more 
+  details about them and the landscape drawing techniques in our paper. 
 </p>
 
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