AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Iván Vladimir Meza Ruíz, Gustavo Giménez Lugo, Elisabeth Mager
2022Year
17Top-tier citations
Abstract
Ich erkläre hiermit, dass ich die vorliegende Arbeit selbständig angefertigt, alle Zitate als solche kenntlich gemacht sowie alle benutzten Quellen und Hilfsmittel angegeben habe.
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Install the CLIlune papers fulltext 8f37c8c9-dd2f-4668-8988-8972be24eb15Cited by top-tier papers17
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- Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource LanguagesWanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu et al.ICLR 2024 · 21 citations
- BLOOM+1: Adding Language Support to BLOOM for Zero-Shot PromptingZheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji et al.ACL 2023 · 20 citations
Builds on21
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- BERTScore: Evaluating Text Generation with BERTTianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger et al.ICLR 2020 · 8,443 citations
- Large Language Models are Zero-Shot ReasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo et al.NeurIPS 2022 · 8,168 citations
- ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsZhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel et al.ICLR 2020 · 7,418 citations
- AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsTaylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace et al.EMNLP 2020 · 1,162 citations
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