adding talk

teaching.html

@@ -79,6 +79,7 @@
             <ul>
               <li><a moz-do-not-send="true"
                   href="https://llmsystem.github.io/llmsystem2024spring/">CMU
+
                   11868 Large Language Model Systems (graduate, Spring
                   2024)</a><br>
               </li>
@@ -107,6 +108,7 @@ <h1>Tutorial</h1>
               <li><a
                   href="https://sites.cs.ucsb.edu/%7Elilei/TALKS/2021-ACL/">ACL2021
 
+
                   Tutorial: Pre-training methods for Neural Machine
                   Translation</a></li>
               <li><a href="TALKS/2019-EMNLP">EMNLP 2019 Tutorial on
@@ -119,6 +121,7 @@ <h1>Tutorial</h1>
 href="TALKS/deep_learning_for_answering_questions_leili_nlpcc_adl2016.pdf">Slides</a>]</li>
               <li>2014 PPAML Summer School Tutorial: <a
                   href="http://bayesianlogic.github.io/download/BLOG-tutorial-2014.pdf">Probabilistic
+
                   Modeling using Bayesian Logic (BLOG) </a> . </li>
               <li> <a href="TALKS/2010-KDD/">KDD 2010 Tutorial on Time
                   Series</a></li>
@@ -131,6 +134,11 @@ <h1>Tutorial</h1>
               <h1>Talks</h1>
             </div>
             <ul>
+              <li>CMU CyLab Seminar: <a moz-do-not-send="true"
+                  href="TALKS/LLM_watermark_leili_2024.01.pdf">Is it
+                  generated by AI? Attacks and Robust Watermarking for
+                  Generative AI. </a>2024.1.22<br>
+              </li>
               <li>IEEE Central Coast Talk: <a
                   href="TALKS/MTIntro2022-leili.pdf"> Breaking Language
                   Barriers with Neural Machine Translation.</a>
@@ -149,16 +157,19 @@ <h1>Talks</h1>
               <li>NeurIPS 2020 Beijing Meetups: <a
 href="TALKS/interpretable_machine_learning_for_NLG_neurips_meetup_2020.12.06.pdf">Scalable,
 
+
                   Controllable, and Interpretable Machine Learning for
                   Natural Language Generation</a>. 2020.12.06 (30 mins).</li>
               <li><a
 href="TALKS/constrained_text_generation_monte_carlo_meets_neural_nets_2020.10.8.pdf">Constrained
 
+
                   Text Generation - Monte Carlo Meets Neural Nets</a>.
                 Tsinghua University. IIIS. 2020.10.8 (1hr)</li>
               <li><a
 href="TALKS/interpretable_machine_learning_for_nlg_tsinghua_2020.10.8.pdf">Scalable,
 
+
                   Controllable and Interpretable Machine Learning for
                   Natural Language Generation.</a> Tsinghua University,
                 Guest Lectures at IIIS Undergrad class 2020.10.8. (1.5
@@ -180,6 +191,7 @@ <h1>Talks</h1>
               <li> 2013 TAMU <a
 href="http://cesg.tamu.edu/seminar/fishbowl-teleseminar-fast-algorithms-for-mining-co-evolving-time-series/">Fish
 
+
                   Bowl Seminar</a> </li>
               <li> Parsimonious Linear Fingerprinting for time series,
                 Machine learning lunch seminar, CMU, Nov, 2010. [ <a