Update README.md

README.md

@@ -2,8 +2,6 @@
 library_name: transformers
 configs:
 - config_name: default
-tags:
-- not-for-all-audiences
 extra_gated_prompt: >-
   By filling out the form below I understand that LlavaGuard is a derivative
   model based on webscraped images and the SMID dataset that use individual
@@ -182,10 +180,12 @@ To provide your assessment use the following json template:
 
 Please cite and share our work if you use it or find it useful. The first three authors contributed equally. 
 ```bibtex
-@incollection{helff2024llavaguard,
-  author = { Lukas Helff and Felix Friedrich and Manuel Brack and Patrick Schramowski and Kristian Kersting },
-  title = { LLAVAGUARD: VLM-based Safeguard for Vision Dataset Curation and Safety Assessment },
-  booktitle = { Working Notes of the CVPR 2024 Workshop on Responsible Generative AI (ReGenAI) },
-  year = { 2024 },
+@incollection{helff2024llavaguard, 
+            crossref = { https://ml-research.github.io/human-centered-genai/projects/llavaguard/index.html }, 
+            key = { Best Runner-Up Paper Award at NeurIPS RBFM 2024 }, 
+            booktitle = { Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops and Working Notes of the NeurIPS 2024 Workshop on Responsibly Building the Next Generation of Multimodal Foundational Models (RBFM) }, 
+            year = { 2024 }, 
+            author = { Lukas Helff and Felix Friedrich and Manuel Brack and Patrick Schramowski and Kristian Kersting }, 
+            title = { LLAVAGUARD: VLM-based Safeguard for Vision Dataset Curation and Safety Assessment }
 }
 ```