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Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang · 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · DOI 10.18653/v1/2022.naacl-main.377

1 Pith paper cite this work, alongside 21 external citations. Polarity classification is still indexing.

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Promoting Online Safety by Simulating Unsafe Conversations with LLMs

cs.HC · 2025-07-29 · conditional · novelty 4.0

A pair of language models, one acting as scammer and one as target, can simulate realistic scam conversations, but the paper presents no user evaluation of whether this improves scam resilience.

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Promoting Online Safety by Simulating Unsafe Conversations with LLMs cs.HC · 2025-07-29 · conditional · none · ref 10
A pair of language models, one acting as scammer and one as target, can simulate realistic scam conversations, but the paper presents no user evaluation of whether this improves scam resilience.

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