| StereoSet: Measuring stereotypical bias in pretrained language models M Nadeem, A Bethke, S Reddy arXiv preprint arXiv:2004.09456, 2020 | 243 | 2020 |
| Identifying depression on Twitter M Nadeem arXiv preprint arXiv:1607.07384, 2016 | 125 | 2016 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 73 | 2021 |
| Fakta: An automatic end-to-end fact checking system M Nadeem, W Fang, B Xu, M Mohtarami, J Glass Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 44 | 2019 |
| Neural multi-task learning for stance prediction W Fang, M Nadeem, M Mohtarami, J Glass Proceedings of the second workshop on fact extraction and verification …, 2019 | 21 | 2019 |
| A systematic characterization of sampling algorithms for open-ended language generation M Nadeem, T He, K Cho, J Glass arXiv preprint arXiv:2009.07243, 2020 | 16 | 2020 |
| Neural Educational Recommendation Engine (NERE) M Nadeem, D Stansbury, S Mooney 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 343-348, 2018 | 3 | 2018 |
| On factuality in neural language models M Nadeem Massachusetts Institute of Technology, 2021 | | 2021 |
James GlassMIT Computer Science and Artificial Intelligence LaboratoryVerified email at mit.edu
