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FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
Research article (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022) · cited 16× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. Retrieved May 24, 2026, from https://4ort.xyz/entity/fewnlu-benchmarking-state-of-the-art-methods-for-few-shot-natural-language-understanding
MLA“FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fewnlu-benchmarking-state-of-the-art-methods-for-few-shot-natural-language-understanding.
BibTeX@misc{4ortxyz_fewnlu-benchmarking-state-of-the-art-methods-for-few-shot-natural-language-understanding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding}}, year = {2026}, url = {https://4ort.xyz/entity/fewnlu-benchmarking-state-of-the-art-methods-for-few-shot-natural-language-understanding}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding — https://4ort.xyz/entity/fewnlu-benchmarking-state-of-the-art-methods-for-few-shot-natural-language-understanding (retrieved 2026-05-24)
