Christopher Homan
Rochester Institute of Technology
H-index: 19
North America-United States
Top articles of Christopher Homan
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Dices dataset: Diversity in conversational ai evaluation for safety | Advances in Neural Information Processing Systems | Lora Aroyo Alex Taylor Mark Diaz Christopher Homan Alicia Parrish | 2024/2/13 |
The reasonable effectiveness of diverse evaluation data | arXiv preprint arXiv:2301.09406 | Lora Aroyo Mark Diaz Christopher Homan Vinodkumar Prabhakaran Alex Taylor | 2023/1/23 |
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo | Tharindu Cyril Weerasooriya Alexander Ororbia Raj Bhensadadia Ashiqur Khudabukhsh Christopher Homan | 2023/7 | |
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety | arXiv preprint arXiv:2306.11530 | Christopher M Homan Greg Serapio-Garcia Lora Aroyo Mark Diaz Alicia Parrish | 2023/6/20 |
(Un) certainty selection methods for Active Learning on Label Distributions | James Spann Pratik Sanjay Bongale Christopher M Homan | 2023/12/13 | |
Findings from the Bambara-French Machine Translation Competition (BFMT 2023) | Ninoh Agostinho Da Silva Tunde Oluwaseyi Ajayi Alexander Antonov Panga Azazia Kamate Moussa Coulibaly | 2023/5 | |
A Framework to Assess (Dis) agreement Among Diverse Rater Groups | arXiv preprint arXiv:2311.05074 | Vinodkumar Prabhakaran Christopher Homan Lora Aroyo Alicia Parrish Alex Taylor | 2023/11/9 |
Offensiveness as an Opinion: Dissecting population-level Label Distributions | Tharindu Cyril Weerasooriya Sarah Luger Yu Liang Christopher M Homan | 2023/3/1 | |
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning | arXiv e-prints | Tharindu Cyril Weerasooriya Sarah Luger Saloni Poddar Ashiqur R KhudaBukhsh Christopher M Homan | 2023/7 |
Vicarious offense and noise audit of offensive speech classifiers: unifying human and machine disagreement on what is offensive | Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing | Tharindu Cyril Weerasooriya Sujan Dutta Tharindu Ranasinghe Marcos Zamperi Christopher M Homan | 2023/12 |
Follow the leader (board) with confidence: Estimating p-values from a single test set with item and response variance | Shira Wein Christopher Homan Lora Aroyo Chris Welty | 2023/7 | |
Improving Label Quality by Joint Probabilistic Modeling of Items and Annotators | LREC 2022 Workshop Language Resources and Evaluation Conference 20th June 2022 | Tharindu Cyril Weerasooriya Alexander G Ororbia Christopher M Homan | 2022/6/20 |
Annotator response distributions as a sampling frame | Christopher Homan Tharindu Cyril Weerasooriya Lora Aroyo Chris Welty | 2022/6 | |
Combining simple but novel data augmentation methods for improving lowresource asr | Interspeech 2022 | Ronit Damania Christopher Homan Emily Prud'hommeaux | 2022/1 |
Improving Label Quality by Jointly Modeling Items and Annotators | arXiv preprint arXiv:2106.10600 | Tharindu Cyril Weerasooriya Alexander G Ororbia Christopher M Homan | 2021/6/20 |
LCP-RIT at SemEval-2021 task 1: Exploring linguistic features for lexical complexity prediction | Abhinandan Desai Kai North Marcos Zampieri Christopher M Homan | 2021/5/18 | |
Domain-specific MT for low-resource languages: The case of Bambara-French | arXiv preprint arXiv:2104.00041 | Allahsera Auguste Tapo Michael Leventhal Sarah Luger Christopher M Homan Marcos Zampieri | 2021/3/31 |
Findings of the 2021 conference on machine translation (WMT21) | Akhbardeh Farhad Arkhangorodsky Arkady Biesialska Magdalena Bojar Ondřej Chatterjee Rajen | 2021 | |
Cross-lingual offensive language identification for low resource languages: The case of marathi | Saurabh Gaikwad Tharindu Ranasinghe Marcos Zampieri Christopher M Homan | 2021/9/8 | |
Neighborhood-based Pooling for Population-level Label Distribution Learning | Tharindu Cyril Weerasooriya Tong Liu Christopher M Homan | 2020 |
Co-Authors
