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@@ -81,7 +81,7 @@ Exploring Refusal Loss Landscapes </title>
 <p>Current transformer-based LLMs will return different responses to the same query due to the randomness of 
   autoregressive sampling-based generation. With this randomness, it is an 
   interesting phenomenon that a malicious user query will sometimes be rejected by the target LLM, but 
-  sometimes be able to bypass the safety guardrail. Based on this observation, for a given LLM <p>$T_\theta$</p> 
+  sometimes be able to bypass the safety guardrail. Based on this observation, for a given LLM T_\theta
   parameterized with $\theta$, we define the refusal loss function $\phi_\theta(x)$ for a given input user query $x$ as below:
 </p>