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README.md

@@ -66,6 +66,7 @@ The evaluation of the benchmark can be done through the following github reposit
 
 
 ## 🌟 Citations
+Please cite our work !
 ```
 @misc{bonnetto2025epflsmartkitchen30denselyannotatedcooking,
       title={EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models}, 
@@ -79,7 +80,5 @@ The evaluation of the benchmark can be done through the following github reposit
 ```
 
 ## ❤️ Acknowledgments
-We thank Andy Bonnetto for the design of the dataset and  Matea Tashkovska for the adaptation of the evaluation platform. </br>
-We thank members of the Mathis Group for Computational Neuroscience \& AI (EPFL) for their feedback throughout the project.
-This work was funded by EPFL, Swiss SNF grant (320030-227871), Microsoft Swiss Joint Research Center and a Boehringer Ingelheim Fonds PhD stipend (H.Q.).
-We are grateful to the Brain Mind Institute for providing funds for hardware and to the Neuro-X Institute for providing funds for services.
+
+Our work was funded by EPFL, Swiss SNF grant (320030-227871), Microsoft Swiss Joint Research Center and a Boehringer Ingelheim Fonds PhD stipend (H.Q.). We are grateful to the Brain Mind Institute for providing funds for hardware and to the Neuro-X Institute for providing funds for services.