Ingestion: AACL-IJCNLP 2023

data/xml/2023.aacl.xml

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+<?xml version='1.0' encoding='UTF-8'?>
+<collection id="2023.aacl">
+  <event id="aacl-2023">
+    <meta>
+      <title>The 13th International Joint Conference on Natural Language Processing and The 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguisticss</title>
+      <location>Nusa Dua, Bali</location>
+      <dates>November 2023</dates>
+    </meta>
+    <links>
+      <url type="website">http://www.ijcnlp-aacl2023.org/</url>
+    </links>
+    <colocated>
+      <volume-id>2023.findings-ijcnlp</volume-id>
+      <volume-id>2023.sealp-1</volume-id>
+      <volume-id>2023.socialnlp-1</volume-id>
+      <volume-id>2023.artofsafety-1</volume-id>
+      <volume-id>2023.finnlp-1</volume-id>
+      <volume-id>2023.nlint-1</volume-id>
+      <volume-id>2023.nlpmc-1</volume-id>
+      <volume-id>2023.wiesp-1</volume-id>
+    </colocated>
+  </event>
+</collection>

data/xml/2023.artofsafety.xml

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+<?xml version='1.0' encoding='UTF-8'?>
+<collection id="2023.artofsafety">
+  <volume id="1" ingest-date="2024-01-18" type="proceedings">
+    <meta>
+      <booktitle>Proceedings of the ART of Safety: Workshop on Adversarial testing and Red-Teaming for generative AI</booktitle>
+      <editor><first>Alicia</first><last>Parrish</last></editor>
+      <publisher>Association for Computational Linguistics</publisher>
+      <address>Bali, Indonesia</address>
+      <month>November</month>
+      <year>2023</year>
+      <venue>artofsafety</venue>
+      <venue>ws</venue>
+    </meta>
+    <frontmatter>
+      <url hash="9ead3f05">2023.artofsafety-1.0</url>
+      <bibkey>artofsafety-2023-art</bibkey>
+    </frontmatter>
+    <paper id="1">
+      <title>Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks</title>
+      <author><first>Aleksander</first><last>Buszydlik</last></author>
+      <author><first>Karol</first><last>Dobiczek</last></author>
+      <author><first>Michał Teodor</first><last>Okoń</last></author>
+      <author><first>Konrad</first><last>Skublicki</last></author>
+      <author><first>Philip</first><last>Lippmann</last></author>
+      <author><first>Jie</first><last>Yang</last></author>
+      <pages>1–10</pages>
+      <url hash="6fb98696">2023.artofsafety-1.1</url>
+      <bibkey>buszydlik-etal-2023-red</bibkey>
+    </paper>
+    <paper id="2">
+      <title>Student-Teacher Prompting for Red Teaming to Improve Guardrails</title>
+      <author><first>Rodrigo</first><last>Revilla Llaca</last></author>
+      <author><first>Victoria</first><last>Leskoschek</last></author>
+      <author><first>Vitor</first><last>Costa Paiva</last></author>
+      <author><first>Cătălin</first><last>Lupău</last></author>
+      <author><first>Philip</first><last>Lippmann</last></author>
+      <author><first>Jie</first><last>Yang</last></author>
+      <pages>11–23</pages>
+      <url hash="3d0ec274">2023.artofsafety-1.2</url>
+      <bibkey>revilla-llaca-etal-2023-student</bibkey>
+    </paper>
+    <paper id="3">
+      <title>Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge</title>
+      <author><first>Manuel</first><last>Brack</last></author>
+      <author><first>Patrick</first><last>Schramowski</last></author>
+      <author><first>Kristian</first><last>Kersting</last></author>
+      <pages>24–28</pages>
+      <url hash="301a3f16">2023.artofsafety-1.3</url>
+      <bibkey>brack-etal-2023-distilling</bibkey>
+    </paper>
+    <paper id="4">
+      <title>Measuring Adversarial Datasets</title>
+      <author><first>Yuanchen</first><last>Bai</last></author>
+      <author><first>Raoyi</first><last>Huang</last></author>
+      <author><first>Vijay</first><last>Viswanathan</last></author>
+      <author><first>Tzu-Sheng</first><last>Kuo</last></author>
+      <author><first>Tongshuang</first><last>Wu</last></author>
+      <pages>29–42</pages>
+      <url hash="4c55c86b">2023.artofsafety-1.4</url>
+      <bibkey>bai-etal-2023-measuring</bibkey>
+    </paper>
+    <paper id="5">
+      <title>Discovering Safety Issues in Text-to-Image Models: Insights from Adversarial Nibbler Challenge</title>
+      <author><first>Gauri</first><last>Sharma</last></author>
+      <pages>43–48</pages>
+      <url hash="0aeebf0f">2023.artofsafety-1.5</url>
+      <bibkey>sharma-2023-discovering</bibkey>
+    </paper>
+    <paper id="6">
+      <title>Uncovering Bias in <fixed-case>AI</fixed-case>-Generated Images</title>
+      <author><first>Kimberley</first><last>Baxter</last></author>
+      <pages>49–50</pages>
+      <url hash="3f07f3fd">2023.artofsafety-1.6</url>
+      <bibkey>baxter-2023-uncovering</bibkey>
+    </paper>
+  </volume>
+</collection>