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Moin Nadeem
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2020 – today
- 2023
- [c6]Jacob P. Portes, Alexander Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle:
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. NeurIPS 2023 - [i8]Jacob P. Portes, Alex Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle:
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. CoRR abs/2312.17482 (2023) - 2021
- [c5]Moin Nadeem, Anna Bethke, Siva Reddy:
StereoSet: Measuring stereotypical bias in pretrained language models. ACL/IJCNLP (1) 2021: 5356-5371 - [i7]Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - 2020
- [c4]Moin Nadeem, Tianxing He, Kyunghyun Cho, James R. Glass:
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. AACL/IJCNLP 2020: 334-346 - [i6]Moin Nadeem, Anna Bethke, Siva Reddy:
StereoSet: Measuring stereotypical bias in pretrained language models. CoRR abs/2004.09456 (2020) - [i5]Moin Nadeem, Tianxing He, Kyunghyun Cho, James R. Glass:
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. CoRR abs/2009.07243 (2020)
2010 – 2019
- 2019
- [c3]Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James R. Glass:
FAKTA: An Automatic End-to-End Fact Checking System. NAACL-HLT (Demonstrations) 2019: 78-83 - [i4]Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James R. Glass:
FAKTA: An Automatic End-to-End Fact Checking System. CoRR abs/1906.04164 (2019) - 2018
- [c2]Moin Nadeem, Dustin Stansbury, Shane Mooney:
Neural Educational Recommendation Engine (NERE). CIKM Workshops 2018 - [c1]Moin Nadeem, Dustin Stansbury, Shane Mooney:
Neural Educational Recommendation Engine (NERE). ICDM Workshops 2018: 343-348 - [i3]Moin Nadeem, Vibhor Nigam, Dimosthenis Anagnostopoulos, Patrick Carretas:
Automating Network Error Detection using Long-Short Term Memory Networks. CoRR abs/1806.02000 (2018) - [i2]Moin Nadeem, Dustin Stansbury, Shane Mooney:
Neural Educational Recommendation Engine (NERE). CoRR abs/1809.08922 (2018) - 2016
- [i1]Moin Nadeem:
Identifying Depression on Twitter. CoRR abs/1607.07384 (2016)
Coauthor Index
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