Merge pull request #84 from cvs-health/joss_paper_draft

Joss paper draft

paper/paper.bib

@@ -7,7 +7,8 @@ @InProceedings{rudinger-EtAl:2018:N18
   month     = {June},
   year      = {2018},
   address   = {New Orleans, Louisiana},
-  publisher = {Association for Computational Linguistics}
+  publisher = {Association for Computational Linguistics},
+  doi       = {10.48550/arXiv.1804.09301},
 }
 
 
@@ -18,6 +19,7 @@ @misc{zhao-2018
 	title = {{Gender Bias in Coreference Resolution: Evaluation and Debiasing methods}},
 	year = {2018},
 	url = {https://arxiv.org/abs/1804.06876},
+  doi = {10.48550/arXiv.1804.06876},
 }
 
 
@@ -51,7 +53,8 @@ @misc{levy2021collecting
       year={2021},
       eprint={2109.03858},
       archivePrefix={arXiv},
-      primaryClass={cs.CL}
+      primaryClass={cs.CL},
+      doi={10.48550/arXiv.2109.03858},
 }
 
 
@@ -62,7 +65,8 @@ @misc{nadeem2020stereoset
     year={2020},
     eprint={2004.09456},
     archivePrefix={arXiv},
-    primaryClass={cs.CL}
+    primaryClass={cs.CL},
+    doi={10.48550/arXiv.2004.09456},
 }
 
 
@@ -72,7 +76,8 @@ @inproceedings{bartl2020unmasking
   author={Bartl, Marion and Nissim, Malvina and Gatt, Albert},
   editor={Costa-jussà, Marta R. and Hardmeier, Christian and Webster, Kellie and Radford, Will},
   booktitle={Proceedings of the Second Workshop on Gender Bias in Natural Language Processing},
-  year={2020}
+  year={2020},
+  doi={10.48550/arXiv.2010.14534},
 }
 
 
@@ -87,7 +92,8 @@ @inproceedings{nangia2020crows
     month = nov,
     year = "2020",
     address = "Online",
-    publisher = "Association for Computational Linguistics"
+    publisher = "Association for Computational Linguistics",
+    doi = "10.48550/arXiv.2010.00133",
 }
 
 
@@ -99,7 +105,8 @@ @misc{felkner2024winoqueercommunityintheloopbenchmarkantilgbtq
       eprint={2306.15087},
       archivePrefix={arXiv},
       primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2306.15087}, 
+      url={https://arxiv.org/abs/2306.15087},
+      doi={10.48550/arXiv.2306.15087}, 
 }
 
 
@@ -112,6 +119,7 @@ @misc{barikeri2021redditbiasrealworldresourcebias
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2106.03521}, 
+      doi={10.48550/arXiv.2106.03521},
 }
 
 
@@ -124,6 +132,7 @@ @misc{qian2022perturbationaugmentationfairernlp
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2205.12586}, 
+      doi={10.48550/arXiv.2205.12586},
 }
 
 
@@ -179,6 +188,7 @@ @misc{huang2023trustgptbenchmarktrustworthyresponsible
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2306.11507}, 
+      doi={10.48550/arXiv.2306.11507},
 }
 
 
@@ -274,6 +284,7 @@ @misc{liang2023holisticevaluationlanguagemodels
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2211.09110}, 
+      doi={10.48550/arXiv.2211.09110},
 }
 
 
@@ -282,7 +293,8 @@ @article{wang2023decodingtrust
   title={DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models},
   author={Wang, Boxin and Chen, Weixin and Pei, Hengzhi and Xie, Chulin and Kang, Mintong and Zhang, Chenhui and Xu, Chejian and Xiong, Zidi and Dutta, Ritik and Schaeffer, Rylan and others},
   booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
-  year={2023}
+  year={2023},
+  doi={10.48550/arXiv.2306.11698},
 }
 
 
@@ -314,6 +326,7 @@ @article{srivastava2023beyond
   issn={2835-8856},
   year={2023},
   url={https://openreview.net/forum?id=uyTL5Bvosj},
+  doi={10.48550/arXiv.2206.04615},
   note={}
 }
 
@@ -337,7 +350,8 @@ @inproceedings{huang2024trustllm
   author={Yue Huang and Lichao Sun and Haoran Wang and Siyuan Wu and Qihui Zhang and Yuan Li and Chujie Gao and Yixin Huang and Wenhan Lyu and Yixuan Zhang and Xiner Li and Hanchi Sun and Zhengliang Liu and Yixin Liu and Yijue Wang and Zhikun Zhang and Bertie Vidgen and Bhavya Kailkhura and Caiming Xiong and Chaowei Xiao and Chunyuan Li and Eric P. Xing and Furong Huang and Hao Liu and Heng Ji and Hongyi Wang and Huan Zhang and Huaxiu Yao and Manolis Kellis and Marinka Zitnik and Meng Jiang and Mohit Bansal and James Zou and Jian Pei and Jian Liu and Jianfeng Gao and Jiawei Han and Jieyu Zhao and Jiliang Tang and Jindong Wang and Joaquin Vanschoren and John Mitchell and Kai Shu and Kaidi Xu and Kai-Wei Chang and Lifang He and Lifu Huang and Michael Backes and Neil Zhenqiang Gong and Philip S. Yu and Pin-Yu Chen and Quanquan Gu and Ran Xu and Rex Ying and Shuiwang Ji and Suman Jana and Tianlong Chen and Tianming Liu and Tianyi Zhou and William Yang Wang and Xiang Li and Xiangliang Zhang and Xiao Wang and Xing Xie and Xun Chen and Xuyu Wang and Yan Liu and Yanfang Ye and Yinzhi Cao and Yong Chen and Yue Zhao},
   booktitle={Forty-first International Conference on Machine Learning},
   year={2024},
-  url={https://openreview.net/forum?id=bWUU0LwwMp}
+  url={https://openreview.net/forum?id=bWUU0LwwMp},
+  doi={10.48550/arXiv.2401.05561},
 }
 
 
@@ -353,7 +367,8 @@ @misc{aif360-oct-2018
 	Moninder Singh and Kush R. Varshney and Yunfeng Zhang},
     month = oct,
     year = {2018},
-    url = {https://arxiv.org/abs/1810.01943}
+    url = {https://arxiv.org/abs/1810.01943},
+    doi = {10.48550/arXiv.1810.01943},
 }
 
 
@@ -371,7 +386,8 @@ @article{Weerts_Fairlearn_Assessing_and_2023
 %aequitas
   @article{2018aequitas,
      title={Aequitas: A Bias and Fairness Audit Toolkit},
-     author={Saleiro, Pedro and Kuester, Benedict and Stevens, Abby and Anisfeld, Ari and Hinkson, Loren and London, Jesse and Ghani, Rayid}, journal={arXiv preprint arXiv:1811.05577}, year={2018}
+     author={Saleiro, Pedro and Kuester, Benedict and Stevens, Abby and Anisfeld, Ari and Hinkson, Loren and London, Jesse and Ghani, Rayid}, journal={arXiv preprint arXiv:1811.05577}, year={2018},
+     doi={10.48550/arXiv.1811.05577},
 }
 
 
@@ -412,7 +428,8 @@ @inproceedings{vasudevan20lift
     series       = {CIKM '20},
     year         = {2020},
     pages        = {},
-    numpages     = {8}
+    numpages     = {8},
+    doi          = {10.1145/3340531.3412705},
 }
 
 
@@ -425,6 +442,7 @@ @misc{bouchard2024actionableframeworkassessingbias
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2407.10853}, 
+      doi={10.48550/arXiv.2407.10853},
 }
 
 
@@ -459,6 +477,7 @@ @misc{zekun2023auditinglargelanguagemodels
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2311.14126}, 
+      doi={10.48550/arXiv.2311.14126},
 }
 
 
@@ -471,6 +490,7 @@ @misc{kusner2018counterfactualfairness
       archivePrefix={arXiv},
       primaryClass={stat.ML},
       url={https://arxiv.org/abs/1703.06856}, 
+      doi={10.48550/arXiv.1703.06856},
 }
 
 
@@ -483,6 +503,7 @@ @misc{gallegos2024biasfairnesslargelanguage
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2309.00770}, 
+      doi={10.48550/arXiv.2309.00770},
 }