updated news and research experience

Author: 3rdCore

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@@ -96,6 +96,8 @@ <h2>News</h2>
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+					<li>February 2023: I will be starting a research internship at <a href="https://www.servicenow.com/research/" target="_blank">Service Now Research</a> (Montréal) working on RL-based method for generating adversarial attacks to showcase current LLMs bias and limitations in term of fairness. </li>
+					<li>December 2022: I was invited to present a poster for my work on <a href="#adversarial" target="_blank">Adversarial Attacks on Sentiment Analysis models</a> during the <a href="https://sites.google.com/mila.quebec/scaling-laws-workshop/" target="_blank">Neural Scaling Laws Workshop</a>, colocated with NeurIPS2022.</li>
 					<li>September 2022: I will be serving for another semester as a teaching assistant for the course  <a href="https://www.polymtl.ca/programmes/cours/intelligence-artif-methodes-et-algorithmes" target="_blank">INF8215 : AI : Methods and Algorithms</a> for the Fall 2022 semester.</li>
 					<li>September 2021: I will be serving as a teaching assistant for the course  <a href="https://www.polymtl.ca/programmes/cours/intelligence-artif-methodes-et-algorithmes" target="_blank">INF8215 : AI : Methods and Algorithms</a> at Polytechnique Montréal taught by Quentin Cappart for the Fall 2021 semester.</li>
 					<li>May 2021 : I will be joining <a href="https://www.polymtl.ca/" target="_blank">Polytechnique Montréal</a> as a graduate student this fall '21.</li>
@@ -109,6 +111,22 @@ <h2>News</h2>
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           <a id="research"><heading>Research Experience</heading></a>
 
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+              <p>
+                <span><strong>Research Intern</strong></span><span style="float:right">February. 2023 - August 2023</span> <br>
+				<br>
+                <em><a href="https://www.servicenow.com/research/" target="_blank">Service Now Research</a>, Montréal, Canada</em>
+                <br>
+                Supervisor: <a href="https://www.servicenow.com/research/author/alexandre-piche.html" target="_blank"> Alexandre Piche</a>, <a href="https://www.servicenow.com/research/author/maxime-gasse.html" target="_blank">Maxime Gasse</a>
+                <br>
+				Research Area: LLM, Fairness, Adversarial Attacks, Reinforcement Learning
+				<br>
+              </p>
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-				<br>
-				<br>
                 <span><strong>Software Development Intern</strong></span><span style="float:right">Jun. 2020 - Sept. 2020</span> <br>
                 <em><a href="https://fr.dronisos.com/" target="_blank">Dronisos</a>, Bordeaux, France</em>
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@@ -182,7 +198,7 @@ <h2>News</h2>
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-		<a class="tog" href=href="data/IFT6167.pdf" target="_blank">
+		<a class="tog" id="adversarial" href="data/IFT6167.pdf" target="_blank">
 			<papertitle>Adversarial Attacks on Sentiment Analysis models</papertitle>
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