Update app.py

Update paper link in UI

app.py

@@ -209,7 +209,7 @@ with demo:
     gr.Markdown(
         "#### LLMs are pretty good at reporting their uncertainty. We just need to ask the right way.")
     gr.Markdown("Using our uncertainty metric informed by applying causal inference techniques in \
-        [Selection Collider Bias in Large Language Models](https://arxiv.org/abs/2208.10063), \
+        [Exploiting Selection Bias on Underspecified Tasks in Large Language Models](https://arxiv.org/abs/2210.00131), \
         we are able to identify likely spurious correlations and exploit them in \
         the scenario of gender underspecified tasks. (Note that introspecting softmax probabilities alone is insufficient, as in the sentences \
         below, LLMs may report a softmax prob of ~0.9 despite the task being underspecified.)")