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LLM Echo Chamber: personalized and automated disinformation

Autor: Ma, Tony

Recent advancements have showcased the capabilities of Large Language Models like GPT4 and Llama2 in tasks such as summarization, translation, and content review. However, their widespread use raises concerns, particularly around the potential for LL

Externí odkaz: http://arxiv.org/abs/2409.16241

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Akademický článek

Engaging African American Youth in the Development of a Serious Mobile Game for Sexual Health Education: Mixed Methods Study

Autor: Patchen, Loral, Ellis, Lindsey, Ma, Tony Xuyen, Ott, Corilyn, Chang, Katie H K, Araya, Brook, Atreyapurapu, Sravanthi, Alyusuf, Amal, Gaines Lanzi, Robin

Publikováno v: JMIR Serious Games, Vol 8, Iss 1, p e16254 (2020)

BackgroundAlthough teen pregnancy rates decreased dramatically in the United States over the past decade, the rates of sexually transmitted infections (STIs) among adolescents and young adults increased. STI rates disproportionately affect African Am

Externí odkaz: https://doaj.org/article/3041451f6fbf4f99a5f9312db81d5e69

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Report

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations

Autor: Ma, Tony, Li, Songze, Xiao, Yisong, Liu, Shunchang

The transferability of adversarial examples is a crucial aspect of evaluating the robustness of deep learning systems, particularly in black-box scenarios. Although several methods have been proposed to enhance cross-model transferability, little att

Externí odkaz: http://arxiv.org/abs/2304.05402

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