Update references.bib

references.bib

@@ -117,8 +117,6 @@ @article{zecevic2023acml
 
 
 
-
-
 @article{zecevic2023parrots,
 Anote={./images/zecevic2023parrots.png},
 author={Matej Zecevic and Moritz Willig and Devendra Singh Dhami and Kristian Kersting},
@@ -132,7 +130,7 @@ @article{zecevic2023parrots
 If our hypothesis holds true, then this would imply that LLMs are like parrots in that they
 simply recite the causal knowledge embedded in the data. Our empirical analysis provides
 favoring evidence that current LLMs are even weak ‘causal parrots.’}, 
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+titel = {Causal Parrots: Large Language Models May Talk Causality But Are Not Causal},
 journal={Transactions on Machine Learning Research (TMLR)},
 issn={2835-8856},
 Publisher = {},
@@ -198,7 +196,7 @@ @article{yan2023privileged
 url={},
 keywords={Gradient Boosting, Fairness, Priviledged Information, Machine Learning}
 }   
-
+ 
 
 @inproceedings{willig2023consolidate,
   Anote={./images/willig2023consolidate.png},