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TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 10× · AI/ML
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TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack

Summary

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack is a scholarly article[1].

Key Facts

  • TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack's instance of is recorded as scholarly article[2].

Related Entities

Dacheng Tao Tianyi Zhou

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. Retrieved May 24, 2026, from https://4ort.xyz/entity/tasa-deceiving-question-answering-models-by-twin-answer-sentences-attack
MLA “TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tasa-deceiving-question-answering-models-by-twin-answer-sentences-attack.
BibTeX @misc{4ortxyz_tasa-deceiving-question-answering-models-by-twin-answer-sentences-attack_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack}}, year = {2026}, url = {https://4ort.xyz/entity/tasa-deceiving-question-answering-models-by-twin-answer-sentences-attack}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack — https://4ort.xyz/entity/tasa-deceiving-question-answering-models-by-twin-answer-sentences-attack (retrieved 2026-05-24)

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