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LEVER: Learning to Verify Language-to-Code Generation with Execution


Feb 16, 2023
Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin

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* 23 pages 

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OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization


Dec 28, 2022
Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov

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* 55 pages 

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Training Trajectories of Language Models Across Scales


Dec 19, 2022
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov

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Complementary Explanations for Effective In-Context Learning


Nov 25, 2022
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru

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Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models


Jun 08, 2022
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov

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* The code is available at https://github.com/facebookresearch/ELECTRA-Fewshot-Learning 

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ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection


May 25, 2022
Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Ves Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona Diab

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* Preprint 

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On the Role of Bidirectionality in Language Model Pre-Training


May 24, 2022
Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov

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Efficient Language Modeling with Sparse all-MLP


Mar 16, 2022
Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li

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