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2,717 papers
Abstract This article argues that the prompt—the linguistic utterance through which a human initiates and directs a generative AI system—should be understood not merely as a technical input to be optimised, but as an emerging literary-rhetorical text in its own right, and therefore a legitimate and pressing object of h...
The participants of this study were university students who had experience using GenAI learning tools, such as Doubao, DeepSeek, Kimi, and ChatGPT. A combination of convenience sampling and snowball sampling was adopted, and the questionnaire was distributed through online channels. Data were collected from May 21 to J...
This paper examines knowledge-capital expansion under modern conditions, with particular attention to the transformation of public knowledge into recursively expanding epistemic capacity. Building on the concepts of knowledge capital and epistemic capitalization, the inquiry situates contemporary artificial intelligenc...
The design of constraint systems is a critical component of many engineering and scientific applications. Traditional methods often involve extensive manual design, which can be time-consuming and prone to error. This paper introduces a novel system, Dynamically Generated Modular Constraint Systems (DGMCS), that levera...
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The participants of this study were university students who had experience using GenAI learning tools, such as Doubao, DeepSeek, Kimi, and ChatGPT. A combination of convenience sampling and snowball sampling was adopted, and the questionnaire was distributed through online channels. Data were collected from May 21 to J...
This paper explores the development of a novel approach to computational creativity centered around generative process modeling. Current AI systems striving for creative output frequently fall short of mimicking the nuanced and often unpredictable nature of human creativity. A key limitation is the absence of a mechani...
This repository contains the reproducibility package for the secondary empirical analyses reported in the manuscript “From Generative AI to Auditable Engineering: A Human-in-the-Loop Assurance Framework for Engineering Artifacts in the V-Model – Case of an Intelligent UAV Payload”, by Ali Kamel Issmael Junior and José...
Using a documentary biography informed by Biographies of Artefacts and Practices (BOAP), this article traces how branches of GPT-4 and DeepSeek-R1 became reachable through regulatory pathways in the European Union, United States and China. Drawing on 132 documentary observations, it reconstructs five cross-site configu...
This paper examines knowledge-capital expansion under modern conditions, with particular attention to the transformation of public knowledge into recursively expanding epistemic capacity. Building on the concepts of knowledge capital and epistemic capitalization, the inquiry situates contemporary artificial intelligenc...
This dataset contains cross-sectional survey data from 300 respondents in Java, Indonesia, who had previous experience interacting with Generative AI chatbot-based customer service. Respondents were recruited through the Populix online research panel using criterion-based purposive sampling. The dataset includes demogr...
Please read the end of the file "Physikalische Implikationen.pdf" The empirical loop is decisively closing. The fundamental constants—137 (fine-structure) and 1836 (proton-electron mass ratio)—are unequivocally observed across cosmic scales. Though long pondered, these values have often been misinterpreted, as research...
A comprehensive, sourced reference on Generative Engine Optimization (GEO): structuring, writing, and publishing content so it is understood, trusted, and cited by generative AI answer engines.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
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