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Measure and Improve Robustness in NLP Models: A Survey
Research article (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022) · cited 78× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Measure and Improve Robustness in NLP Models: A Survey. Retrieved May 24, 2026, from https://4ort.xyz/entity/measure-and-improve-robustness-in-nlp-models-a-survey
MLA“Measure and Improve Robustness in NLP Models: A Survey.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/measure-and-improve-robustness-in-nlp-models-a-survey.
BibTeX@misc{4ortxyz_measure-and-improve-robustness-in-nlp-models-a-survey_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Measure and Improve Robustness in NLP Models: A Survey}}, year = {2026}, url = {https://4ort.xyz/entity/measure-and-improve-robustness-in-nlp-models-a-survey}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Measure and Improve Robustness in NLP Models: A Survey — https://4ort.xyz/entity/measure-and-improve-robustness-in-nlp-models-a-survey (retrieved 2026-05-24)