update!

Author: kargaranamir

.DS_Store

@@ -1,4 +1,6 @@
 _site/
 .jekyll-cache/
 .DS_Store
-.DS_Store
+._.DS_Store
+**/.DS_Store
+**/._.DS_Store

.gitignore

@@ -17,9 +17,9 @@
 		<li><a href="{{ site.url }}{{ site.baseurl }}/publications">Publications</a></li>
 		<!-- <li><a href="{{ site.url }}{{ site.baseurl }}/research">Research</a></li> -->
 		<li><a href="{{ site.url }}{{ site.baseurl }}/projects">Projects</a></li>
-		<li><a href="{{ site.url }}{{ site.baseurl }}/vacancies">Join Us!</a></li>
+		<li><a href="{{ site.url }}{{ site.baseurl }}/vacancies">Open Positions</a></li>
 		<!-- <li><a href="{{ site.url }}{{ site.baseurl }}/blog">Blog</a></li> -->
-		<li><a href="{{ site.url }}{{ site.baseurl }}/about">About Hinrich</a></li>
+		<li><a href="{{ site.url }}{{ site.baseurl }}/about">About Lab Director</a></li>
 		<!-- <li><a href="{{ site.url }}{{ site.baseurl }}/pictures">(Pics)</a></li> -->
 	  </ul>
 	</div>

_data/.DS_Store

@@ -31,22 +31,22 @@ You can find resources (data, code, repositories) released by CIS lab members on
             <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/cis-group-m.jpg" alt="Slide 1" style="height: 300px"/>
         </div>
         <div class="item">
-            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/silvia.png" alt="Slide 2" />
+            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/ofa.png" alt="Slide 2" />
         </div>
         <div class="item">
-            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/exclique2.jpg" alt="Slide 3" />
+            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/nolima.jpeg" alt="Slide 3" />
         </div>
         <div class="item">
-            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/pcasample.jpg" alt="Slide 4" />
+            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/logitlens.png" alt="Slide 4" />
         </div>
         <div class="item">
-            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/curve0.jpg" alt="Slide 5" />
+            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/transmi.jpeg" alt="Slide 5" />
         </div>
         <!-- <div class="item">
-            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/SmartTipSide.jpg" alt="Slide 6" />
+            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/memllm.jpeg" alt="Slide 6" />
         </div>       
          <div class="item">
-            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/lab.jpg" alt="Slide 7" />
+            <img src="{{ site.url }}{{ site.baseurl }}/images/carousel/learn-it-or-leave-it.jpeg" alt="Slide 7" />
         </div> -->
     </div>
   <a class="left carousel-control" href="#carousel" role="button" data-slide="prev">
@@ -81,6 +81,6 @@ We are grateful for funding from the Munich Centre for Machine Learning ([MCML](
 <figure class="fourth">
   <img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Logo_LMU.png" style="width: 150px"> 
   <img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Logo_DFG.jpg" style="width: 150px"> 
-  <img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Logo_MCML.png" style="width: 150px"> 
+  <img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Logo_MCML.jpg" style="width: 150px"> 
   <img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Logo_ERC.jpg" style="width: 150px">
 </figure>

_includes/.DS_Store

@@ -8,9 +8,7 @@ permalink: /vacancies/
 
 # Working at Schütze Lab
 
-We are always looking for new group members with passion, talent, and grit!
-
-You will have the chance to work at the cutting edge of research in computational linguistics and NLP. You may be exploring multilinguality on a Bible corpus of 1700+ languages, improving and enhancing latest transformer models or pushing the state of art on existing NLP tasks; you will be involved in asking the interesting questions, designing algorithms, conducting experiments and finally presenting your research in the best conferences around the world. 
+We are always looking for new group members with passion, talent, and grit! You will have the chance to work at the cutting edge of research in computational linguistics and NLP.  
 
 ### Current open thesis positions
 

_includes/header.html

@@ -6,30 +6,28 @@ sitemap: false
 permalink: /projects/
 ---
 
-# Funded Projects
+# Projects
 
-Our primary focus is linguistically-informed Neural Natural Language Processing (NNLP). Towards that end, we are working on various funded projects, as described below. 
+Our primary focus is linguistically-informed Neural Natural Language Processing. Towards that end, we are working on various funded projects, as described below. 
 
-## ERC Advanced Grant NonSequeToR
+### ERC Advanced Grant NonSequeToR
 
 Text understanding can fundamentally be viewed as a process of composition: the meaning of smaller units is composed to compute the meaning of larger units and eventually of sentences and documents. Our hypothesis is that optimal generalization in deep learning requires that more regular processes of composition are learned as composition functions whereas units that are the output of less regular processes are learned as static embeddings.  We investigate novel representation learning algorithms and architectures to test this hypothesis. The envisioned goal of the project is a new robust and powerful text representation that
 captures all aspects of form and meaning that NLP needs for successful processing of text.
+See more details on [European Commission website](https://cordis.europa.eu/project/id/740516).
 
-([Project Description](https://cordis.europa.eu/project/id/740516))
 <!-- ![]({{ site.url }}{{ site.baseurl }}/images/respic/SpinFluc.png){: style="width: 80%; float: center; margin: 10px"} -->
-## High quality subword vocabulary induction (Project within the Munich Center for Machine Learning)
+### High quality subword vocabulary induction (Project within the Munich Center for Machine Learning)
 
 A common approach in representing text as input for deep learning models is to use heuristically induced word pieces. Such a representation is easier to process than characters, but does not incur the high cost of large word vocabularies. In this project, we will investigate alternatives to currently used heuristics that are a more natural representation of the semantics of text.
+See more details on [MCML website](https://mcml.ai/areas_of_competence/).
 
-([Project Description](https://mcml.ai/areas_of_competence/))
-
-## ReMLAV: Relational Machine Learning for Argument Validation (DFG project)
+### ReMLAV: Relational Machine Learning for Argument Validation (DFG project)
 
 Argument validation is the task of classifying a given argument as valid or invalid based on its linguistic form, the larger document context, world knowledge and other factors. This project aims to combine representation learning (both static and contextualized embeddings) and relational machine learning to solve this task.
+See more details on [DFG website](https://gepris.dfg.de/gepris/projekt/376183703).
 
-([Project Description](https://gepris.dfg.de/gepris/projekt/376183703))
-
-## Munich Doctoral Program (IDK): Premodern Cultures, Global Perspectives and the Foundations of a New Philology
+### Munich Doctoral Program (IDK): Premodern Cultures, Global Perspectives and the Foundations of a New Philology
 Based on an examination of 4000 years of history of literature, this program's goal is to synthesize theory and
 practice of European traditions with those of the East Asian and South Asian cultural spheres as well as the Jewish and
 Arab worlds. A particular focus will be on digital humanities methods.
@@ -38,11 +36,10 @@ Arab worlds. A particular focus will be on digital humanities methods.
 
 <!-- ## ... and more. -->
 
-# Robotics Projects
-As large language models (LLMs) show impressive emergent abilities in various fields, we are exploring multiple directions combining LLMs into robotics.
-Currently, we are mostly interested in the following topics:
 
-## Long-Horizon Language-Conditioned Robotic Manipulation
+### Long-Horizon Language-Conditioned Robotic Manipulation
+
+As large language models (LLMs) show impressive emergent abilities in various fields, we are exploring multiple directions combining LLMs into robotics.
 Given a high-level human instruction, the robot is supposed to understand the language instruction well and perform long-horizon memorizing and complex reasoning to complete the designated task.   
 We open-sourced a challenging benchmark *LoHoRavens* for this task and provided two baselines. 
 See more details on [LoHoRavens page](https://cisnlp.github.io/lohoravens-webpage/).

_pages/.DS_Store

@@ -11,8 +11,7 @@ permalink: /publications/
 
 <!-- ## Group selected -->
 
-(Full list is available on CIS [website](https://www.cis.uni-muenchen.de/publications/).)
-
+The full list of publications is available on the CIS [website](https://www.cis.uni-muenchen.de/publications/).
 
 <!-- {% for publi in site.data.publist %}