Home ›
Entities
› academia
› AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
Research article (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022) · cited 66× · AI/ML
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
Summary
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages is a scholarly article[1].
Key Facts
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. Retrieved May 24, 2026, from https://4ort.xyz/entity/americasnli-evaluating-zero-shot-natural-language-understanding-of-pretrained-multilingual-models-in-truly-low-resource-
MLA“AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/americasnli-evaluating-zero-shot-natural-language-understanding-of-pretrained-multilingual-models-in-truly-low-resource-.
BibTeX@misc{4ortxyz_americasnli-evaluating-zero-shot-natural-language-understanding-of-pretrained-multilingual-models-in-truly-low-resource-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages}}, year = {2026}, url = {https://4ort.xyz/entity/americasnli-evaluating-zero-shot-natural-language-understanding-of-pretrained-multilingual-models-in-truly-low-resource-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages — https://4ort.xyz/entity/americasnli-evaluating-zero-shot-natural-language-understanding-of-pretrained-multilingual-models-in-truly-low-resource- (retrieved 2026-05-24)
