This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...
Harsh Verma· International Journal of Sci...· 0 citations
Retrieval-Augmented Generation (RAG) helps language models give more accurate answers by using information from external documents. Instead of depending only on what the model learned during training, it can search for relevant information when needed. The quality of the retrieved information is important for getting g...
Ayush Aryan, Sudhakar Ranjan· International Journal For Mu...· 0 citations
This paper proposes SPO-PA, which combines self-correcting prompt optimization (SPO) and preference alignment (PA), which compares LLM predictions with reference annotations and applies source-specific constraints to these signals.
Fu-Yuan Wei, Wen-Zhong Yang, Tiquan Gu et al.· Journal of King Saud Univers...· 0 citations
LLM-based chatbots may have potential as supplementary sources of patient-facing health information, but they should not replace professional medical evaluation and do not establish patient comprehension, educational effectiveness, or clinical benefit.
Xin Zuo, Huan Zuo, Min Zhang et al.· Frontiers in Public Health· 0 citations
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Measuring the waits a hiring process creates, and keeping the record it owes Four working days of internal approval are three weeks of silence on the other side, and almost every complaint about hiring is a complaint about that gap rather than about the decision at the end of it. Recruitment administration is a queue w...
Aisha Gunawan· Zenodo (CERN European Organi...· 0 citations
I can generate a working AI specification in about five minutes, and it runs across five different AI platforms without being rewritten for each one. This paper describes the method that got me there and how I checked that it was real. The method is a loop. Build a specification for a job, test it, then pull out the pa...
Robert E. Bankston· Zenodo (CERN European Organi...· 0 citations
This record contains the data, code, annotations, and evaluation artifacts for a controlled study of ontology-guided prompting in zero-shot information extraction. The experiment compares a generic extraction prompt with an ontology-guided variant using 20 synthetic single-entity texts constructed for four selected ont...
Michael Romei de Socio· Zenodo (CERN European Organi...· 0 citations
Retrieval-augmented generation (RAG) systems for scientific literature require evidence-based choices of document segmentation, representation, retrieval, and generation components, particularly when the source collection varies in topical specificity and document structure. This study addresses the lack of an end-to-e...
Karla Topić, Marina Bagić Babac, Vedran Mornar· Information· 0 citations
ABSTRACT Early childhood is a sensitive period for cognitive, language, and socio‐emotional development, with parental engagement playing a central role. In Argentina, families facing socioeconomic adversity often encounter barriers that limit access to developmentally enriching parent–child activities; heightening dev...
Personality science compresses a person into a small readable coordinate system, and the content science of the companion papers does the analogous thing for writing, eight character axes that collapse to two interpretable dimensions, matter against manner and originality. This paper reports the coupling between those...
Jason Duke· Zenodo (CERN European Organi...· 0 citations
An exact reconstruction of the published order-adjusted killer-whale movement model reproduces the pilot-whale-sound coefficient (beta = -82.134, robust p = 0.02064), but only two of five matched animals show the expected within-whale direction and the exact paired sensitivity is nonsignificant (p = 0.40625). This publ...
Cody Miller· Zenodo (CERN European Organi...· 0 citations