Update README.md

README.md

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-***Language Models for Question Generation (LMQG)*** is the official registry of <a href="paper_link">"Generative Language Models for Paragraph-Level Question Generation, EMNLP 2022"</a>, which has proposed <a href="https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md">QG-Bench</a>, multilingual and multidomain question generation datasets and models.
+***Language Models for Question Generation (LMQG)*** is the official registry of <a href="https://aclanthology.org/2022.emnlp-main.42/">"Generative Language Models for Paragraph-Level Question Generation, EMNLP 2022"</a>, which has proposed <a href="https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md">QG-Bench</a>, multilingual and multidomain question generation datasets and models.
 See the official <a href="https://github.com/asahi417/lm-question-generation">GitHub</a> for more information.
 The QG models can be used with <a href="https://pypi.org/project/lmqg">`lmqg`</a> library as below.
 
@@ -47,7 +47,7 @@ See more information bellow.
 <ul>
    <li>&nbsp; lmqg: <a href="https://github.com/asahi417/lm-question-generation">https://github.com/asahi417/lm-question-generation</a></li>
    <li>&nbsp; QG-Bench: <a href="https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets">https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets</a></li>
-   <li>&nbsp; Paper (EMNLP 2022): <a href="https://arxiv.org/abs/2210.03992">https://arxiv.org/abs/2210.03992</a></li>
+   <li>&nbsp; Paper (EMNLP 2022): <a href="https://aclanthology.org/2022.emnlp-main.42/">https://aclanthology.org/2022.emnlp-main.42/</a></li>
 </ul>