Model cards for model reporting M Mitchell, S Wu, A Zaldivar, P Barnes, L Vasserman, B Hutchinson, ... Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 2302 | 2019 |
Measuring and mitigating unintended bias in text classification L Dixon, J Li, J Sorensen, N Thain, L Vasserman Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 67-73, 2018 | 910 | 2018 |
Nuanced metrics for measuring unintended bias with real data for text classification D Borkan, L Dixon, J Sorensen, N Thain, L Vasserman Companion proceedings of the 2019 world wide web conference, 491-500, 2019 | 522 | 2019 |
Generating language models ME Epstein, L Vasserman US Patent 9,437,189, 2016 | 226 | 2016 |
A new generation of perspective api: Efficient multilingual character-level transformers A Lees, VQ Tran, Y Tay, J Sorensen, J Gupta, D Metzler, L Vasserman Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 188 | 2022 |
Is your toxicity my toxicity? exploring the impact of rater identity on toxicity annotation N Goyal, ID Kivlichan, R Rosen, L Vasserman Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-28, 2022 | 97 | 2022 |
” You have to prove the threat is real”: Understanding the needs of Female Journalists and Activists to Document and Report Online Harassment N Goyal, L Park, L Vasserman Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 35 | 2022 |
ESSE: Exploring mood on the web S Sood, L Vasserman AAAI Conference on Weblogs and Social Media (ICWSM) Data Challenge Workshop, 2009 | 31 | 2009 |
Measuring and improving model-moderator collaboration using uncertainty estimation ID Kivlichan, Z Lin, J Liu, L Vasserman arXiv preprint arXiv:2107.04212, 2021 | 28 | 2021 |
Contextual language model adaptation using dynamic classes L Vasserman, B Haynor, P Aleksic 2016 IEEE Spoken Language Technology Workshop (SLT), 441-446, 2016 | 24 | 2016 |
Introducing the model card toolkit for easier model transparency reporting H Fang, H Miao, K Shukla, D Nanas, C Xu, C Greer, N Polyzotis, T Doshi, ... Google AI Blog, 2020 | 19 | 2020 |
Limitations of pinned auc for measuring unintended bias D Borkan, L Dixon, J Li, J Sorensen, N Thain, L Vasserman arXiv preprint arXiv:1903.02088, 2019 | 16 | 2019 |
Sequence-based class tagging for robust transcription in ASR. L Vasserman, V Schogol, KB Hall Interspeech, 473-477, 2015 | 14 | 2015 |
Leveraging existing outreach programs to reach underrepresented minorities M Gonzalez, L Vasserman, SO Sood, TY Chen Journal of Computing Sciences in Colleges 26 (4), 190-196, 2011 | 7 | 2011 |
Lost in Distillation: A Case Study in Toxicity Modeling A Chvasta, A Lees, J Sorensen, L Vasserman, N Goyal Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), 92-101, 2022 | 2 | 2022 |
Model Cards for Model Reporting A Zaldivar, B Hutchinson, E Spitzer, ID Raji, L Vasserman, M Mitchell, ... | 1 | 2019 |