Landing page: paper PDF and project page links, no license, new Figure 1

README.md

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 short_description: "Scalable elastic pretraining: checkpoints and data"
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   <h1>ShellElastic</h1>
-  <div class="subtitle">Scalable Elastic Pretraining with Simultaneous Maximal Updates and Hyperparameter Transfer</div>
+  <div class="subtitle">Scalable Elastic Pretraining<br>with Simultaneous Maximal Updates and Hyperparameter Transfer</div>
   <p class="authors"><span class="author"><b>Can Jin</b><sup>1*</sup></span> · <span class="author"><b>Yan Kang</b><sup>2</sup></span> · <span class="author"><b>Yifan Gong</b><sup>2</sup></span> · <span class="author"><b>Chongjian Ge</b><sup>2</sup></span> · <span class="author"><b>Mingze Xu</b><sup>2</sup></span> · <span class="author"><b>Yuanjun Xiong</b><sup>2</sup></span> · <span class="author"><b>Dimitris N. Metaxas</b><sup>1</sup></span> · <span class="author"><b>Hongwu Peng</b><sup>2</sup></span></p>
   <p class="affil"><sup>1</sup>Rutgers University &emsp; <sup>2</sup>Adobe Research</p>
   <p class="corr"><sup>*</sup>Corresponding author: <a href="mailto:can.jin@rutgers.edu">can.jin@rutgers.edu</a>. Work done during an
     internship at Adobe Research.</p>
   <div class="badges">
-    <a href="https://github.com/jincan333/ShellElastic/tree/main/paper"><img alt="Paper" src="https://img.shields.io/badge/Paper-PDF-b31b1b?style=for-the-badge"></a>
-    <a href="http://localhost:8765/"><img alt="Project Page" src="https://img.shields.io/badge/Project-Page-2f6db5?style=for-the-badge"></a>
+    <a href="https://github.com/jincan333/ShellElastic/blob/main/paper/ShellElastic.pdf"><img alt="Paper" src="https://img.shields.io/badge/Paper-PDF-b31b1b?style=for-the-badge"></a>
+    <a href="https://jincan333.github.io/ShellElastic_page"><img alt="Project Page" src="https://img.shields.io/badge/Project-Page-2f6db5?style=for-the-badge"></a>
     <a href="https://github.com/jincan333/ShellElastic"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-181717?style=for-the-badge&amp;logo=github&amp;logoColor=white"></a>
     <a href="https://huggingface.co/collections/Can111/shellelastic-checkpoints-and-data-6ac41e3a763d5a3fd0e79111"><img alt="Checkpoints" src="https://img.shields.io/badge/Checkpoints-Hugging%20Face-ffd21e?style=for-the-badge&amp;logo=huggingface&amp;logoColor=white"></a>
     <a href="https://huggingface.co/collections/Can111/shellelastic-checkpoints-and-data-6ac41e3a763d5a3fd0e79111"><img alt="Datasets" src="https://img.shields.io/badge/Datasets-Hugging%20Face-ffd21e?style=for-the-badge&amp;logo=huggingface&amp;logoColor=white"></a>
-    <a href="https://github.com/jincan333/ShellElastic/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/License-Apache--2.0-3da639?style=for-the-badge&amp;logo=apache&amp;logoColor=white"></a>
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 <h2>About ShellElastic</h2>
 <figure><img src="figure1.png" alt="Figure 1 of the paper: the ShellElastic architecture"></figure>
@@ -90,9 +93,6 @@ read, in the layout that the code reads. Training: 3,136 shards of DCLM-Baseline
 (141.32 GB, 25,690,112 sequences of 2,049 tokens); validation: 11 shards of held-out C4
 text (1.12 GB, 84,999 sequences).</p>
 
-<h2>License</h2>
-<p>The code is released under the <a href="https://github.com/jincan333/ShellElastic/blob/main/LICENSE">Apache License 2.0</a>. The checkpoints and the data are
-released under CC BY 4.0; the data also carry the terms of their sources (see the dataset card).</p>
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