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Do Prompt-Based Models Really Understand the Meaning of Their Prompts?

Research article (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022) · cited 181× · AI/ML
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Do Prompt-Based Models Really Understand the Meaning of Their Prompts?

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Do Prompt-Based Models Really Understand the Meaning of Their Prompts? is a scholarly article[1].

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  • Do Prompt-Based Models Really Understand the Meaning of Their Prompts?'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Do Prompt-Based Models Really Understand the Meaning of Their Prompts?. Retrieved May 24, 2026, from https://4ort.xyz/entity/do-prompt-based-models-really-understand-the-meaning-of-their-prompts
MLA “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/do-prompt-based-models-really-understand-the-meaning-of-their-prompts.
BibTeX @misc{4ortxyz_do-prompt-based-models-really-understand-the-meaning-of-their-prompts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Do Prompt-Based Models Really Understand the Meaning of Their Prompts?}}, year = {2026}, url = {https://4ort.xyz/entity/do-prompt-based-models-really-understand-the-meaning-of-their-prompts}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Do Prompt-Based Models Really Understand the Meaning of Their Prompts? — https://4ort.xyz/entity/do-prompt-based-models-really-understand-the-meaning-of-their-prompts (retrieved 2026-05-24)

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