From edd8845e3761d4a9919809e6ffe89f6cd33e807d Mon Sep 17 00:00:00 2001
From: lscpku <44794370+lscpku@users.noreply.github.com>
Date: Mon, 11 Mar 2024 15:07:32 +0800
Subject: [PATCH] Update index.htm

---
 index.htm | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/index.htm b/index.htm
index 0a2b7d4..6617a3f 100644
--- a/index.htm
+++ b/index.htm
@@ -106,7 +106,7 @@
 <td width="9%" height="300"><img src="photo_2112.png" width="250" /></td>
 
 <td width="90%" style="text-align:justify; font-size:22px">
-<font size = "6"><b>Xu Sun</b></font> <font size = "4"><b>孙栩</b></font> <br>
+<font size = "6"><b>Xu Sun</b></font> <font size = "5"><b>孙栩</b></font> <br>
 <!-- (Pronunciation of Xu: shoo[ʃuː])<br> -->
 <font size = "1">&nbsp;</font><br>
   Associate Professor, PhD Supervisor<br>
@@ -257,7 +257,7 @@ <h2 class="blank" id="publications">Publications</h2>
 <li><a href = "https://aclanthology.org/2023.emnlp-main.609.pdf"><b>Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning</b></a>. 
 L.Wang, L.Li, D.Dai, D.Chen, H.Zhou, F.Meng, J.Zhou, X.Sun <br>
 In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (<b>EMNLP</b>), 2023 
-<span style="color: #F00;"><b>[Best Paper Award]</b></span>
+<span style="color: #F00;"><b>[Best Long Paper Award]</b></span>
 <br><br>
 
 <li display="inline" ><a href="https://openreview.net/pdf?id=txPdKZrrZF"><b>Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense</b></a>. Z.Zhang, D.Chen, H.Zhou, F.Meng, J.Zhou, X.Sun<br>