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LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails
Research article (2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2022) · cited 14× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails. Retrieved May 24, 2026, from https://4ort.xyz/entity/lms-go-phishing-adapting-pre-trained-language-models-to-detect-phishing-emails
MLA“LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lms-go-phishing-adapting-pre-trained-language-models-to-detect-phishing-emails.
BibTeX@misc{4ortxyz_lms-go-phishing-adapting-pre-trained-language-models-to-detect-phishing-emails_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails}}, year = {2026}, url = {https://4ort.xyz/entity/lms-go-phishing-adapting-pre-trained-language-models-to-detect-phishing-emails}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails — https://4ort.xyz/entity/lms-go-phishing-adapting-pre-trained-language-models-to-detect-phishing-emails (retrieved 2026-05-24)