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Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models

Research article (2021 IEEE/ACM International Conference on Automation of Software Test (AST), 2021) · cited 22× · AI/ML
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Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models

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Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/multimodal-surprise-adequacy-analysis-of-inputs-for-natural-language-processing-dnn-models
MLA “Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multimodal-surprise-adequacy-analysis-of-inputs-for-natural-language-processing-dnn-models.
BibTeX @misc{4ortxyz_multimodal-surprise-adequacy-analysis-of-inputs-for-natural-language-processing-dnn-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models}}, year = {2026}, url = {https://4ort.xyz/entity/multimodal-surprise-adequacy-analysis-of-inputs-for-natural-language-processing-dnn-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models — https://4ort.xyz/entity/multimodal-surprise-adequacy-analysis-of-inputs-for-natural-language-processing-dnn-models (retrieved 2026-05-24)

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