Update index.html

Author: shainarazavi

docs/index.html

@@ -66,6 +66,14 @@ <h1 class="title is-1 publication-title">
               <img src="static/images/factualDPO.png" alt="Logo" style="width: 1.2em; vertical-align: middle; margin-right: 10px;">
               Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning
             </h1>
+
+            <!-- Acceptance Badge -->
+            <div style="margin-bottom: 15px;">
+              <span style="display: inline-block; background-color: #d4edda; color: #155724; font-weight: 600; font-size: 1.05em; padding: 6px 18px; border-radius: 20px; border: 1px solid #b7dfc3;">
+                <i class="fas fa-check-circle" style="margin-right: 5px;"></i>Accepted at ACL 2026 Findings
+              </span>
+            </div>
+
             <div class="is-size-5 publication-authors">
               <span class="author-block">
                 <a href="https://github.com/Sindhuja217" target="_blank">Sindhuja Chaduvula</a><sup>1</sup>,
@@ -80,14 +88,18 @@ <h1 class="title is-1 publication-title">
                 <a href="https://yani.ai/" target="_blank">Yani Ioannou</a><sup>3</sup>,
               </span>
               <span class="author-block">
-                <a href="https://github.com/shainarazavi" target="_blank">Shaina Raza</a><sup>1</sup>
+                <a href="https://github.com/shainarazavi" target="_blank">Shaina Raza</a><sup>1*</sup>
               </span>
             </div>
 
             <div class="is-size-5 publication-authors">
               <span class="author-block"><sup>1</sup>Vector Institute for Artificial Intelligence, <sup>2</sup>University of Cincinnati, <sup>3</sup>University of Calgary</span>
             </div>
 
+            <div class="is-size-6 publication-authors" style="margin-top: 5px;">
+              <span class="author-block"><sup>*</sup>Corresponding author: <a href="mailto:shaina.raza@vectorinstitute.ai">shaina.raza@vectorinstitute.ai</a></span>
+            </div>
+
             <div class="column has-text-centered">
               <div class="publication-links">
 
@@ -597,7 +609,7 @@ <h2 class="title is-4 has-text-centered">
     <p class="has-text-centered is-size-7">
       <span style="background-color:#e6f4ea;padding:2px 6px;">Green</span>: best per model &nbsp;
       <span style="background-color:#fff6db;padding:2px 6px;">Yellow</span>: second-best / improvement &nbsp;
-      “—” indicates not applicable
+      "—" indicates not applicable
     </p>
 
   </div>
@@ -616,10 +628,10 @@ <h2 class="title">BibTeX</h2>
           <span class="copy-text">Copy</span>
         </button>
       </div>
-      <pre id="bibtex-code"><code>@article{FactualAlignment2026,
+      <pre id="bibtex-code"><code>@inproceedings{FactualAlignment2026,
   title={Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning},
-  author={Sindhuja Chaduvula, Ahmed Radwan, Azib Farooq, Yani Ioannou, Shaina Raza},
-  journal={arXiv preprint arXiv:2601.03027},
+  author={Sindhuja Chaduvula and Ahmed Radwan and Azib Farooq and Yani Ioannou and Shaina Raza},
+  booktitle={Findings of the Association for Computational Linguistics: ACL 2026},
   year={2026},
   url={https://github.com/VectorInstitute/Factual-Preference-Alignment}
 }</code></pre>
@@ -634,7 +646,7 @@ <h2 class="title">Acknowledgments</h2>
     <p>
       Resources used in preparing this research were provided, in part, by the Province of Ontario and the Government of Canada through CIFAR, as well as companies sponsoring the Vector Institute
       (<a href="http://www.vectorinstitute.ai/#partners" target="_blank" rel="noopener noreferrer">partners</a>).
-      This research was funded by the European Union’s Horizon Europe research and innovation programme under the AIXPERT project (Grant Agreement No. 101214389), which aims to develop an agentic,
+      This research was funded by the European Union's Horizon Europe research and innovation programme under the AIXPERT project (Grant Agreement No. 101214389), which aims to develop an agentic,
       multi-layered, GenAI-powered framework for creating explainable, accountable, and transparent AI systems.
     </p>
   </div>
@@ -648,7 +660,7 @@ <h2 class="title">Acknowledgments</h2>
         <div class="content">
 
           <p>
-            This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
+            This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
             You are free to borrow the source code of this website, we just ask that you link back to this page in the footer. <br> This website is licensed under a <a rel="license"  href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
             Commons Attribution-ShareAlike 4.0 International License</a>.
           </p>