Cross-model evaluation of phishing detectors against LLM-generated emails. [PDF]
Gutierrez R, Villegas-Ch W, Govea J.
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AI agents can coordinate via majority-following beyond human scale. [PDF]
De Marzo G, Castellano C, Garcia D.
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Interpretable fine-tuned large language models facilitate making genetic test decisions for rare diseases. [PDF]
Nguyen QM +12 more
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Implicit Bias in Large Language Model Diagnosis of Eating Disorders: Experimental Vignette Study. [PDF]
McCalla D +6 more
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Group size effects and collective misalignment in LLM multi-agent systems. [PDF]
Flint A +3 more
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Measuring Consistency Between Large Language Models' Responses to Preventive Care Queries and Official US Preventive Services Task Force (USPSTF) Recommendations: Systematic Test Involving All USPSTF Preventive Care Topics via Simulated User Prompts. [PDF]
Johnson T, Gaissmaier W.
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Assessing the capability of large language models in answering pediatric critical care board-style questions. [PDF]
Chanci D +13 more
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Digital twin-supported behavioral intention in mothers of young children to prevent childhood obesity: a large language model-based intervention study. [PDF]
Nakamura K +8 more
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Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records. [PDF]
Klang E +7 more
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Bridging trust and performance in intelligent systems: Hybrid explainable AI approaches for interpreting large language models. [PDF]
P AS, P TS.
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